The adoption of wearable neural sensors allows users to monitor brain activity in real-time, providing valuable insights into cognitive functions and facilitating improvements in mental health, focus, and overall well-being.

The adoption of wearable neural sensors is changing the way we perceive health and technology. Imagine having real-time insights on your brain activity right at your fingertips. Curious how this could impact your daily life? Let’s dive in.

 

What are wearable neural sensors?

Wearable neural sensors are innovative devices that measure brain activity and provide valuable insights into our mental states. By utilizing advanced technology, these sensors capture real-time data that can enhance our understanding of cognitive functions.

What do wearable neural sensors do? They track various brain metrics, allowing users to monitor their focus, stress levels, and overall mental well-being. This technology opens up exciting possibilities for both personal and medical applications.

Types of wearable neural sensors

There are several types of wearable neural sensors available today, each designed for specific uses:

  • Electroencephalogram (EEG) sensors: Measure electrical activity of the brain.
  • Neuromodulation devices: Help in managing conditions by stimulating specific brain areas.
  • Biometric sensors: Track physiological responses related to brain function.

Wearable neural sensors have gained popularity in various fields, including mental health, education, and sports. They offer athletes ways to optimize their performance by analyzing brain engagement during training. In mental health, therapists can use these sensors to track patient progress and tailor treatments accordingly.

How are wearable neural sensors used?

These devices can be incorporated into daily life through various applications. For example, meditation apps can use neural sensors to help individuals improve focus and relaxation. By adopting these sensors, users not only gain insights but can also develop healthier habits.

Furthermore, wearable neural sensors can promote better sleep by identifying patterns in brain activity. Sleep scientists utilize this data to understand what makes for a restorative night. With this information, users can enhance their sleep quality, ultimately boosting their productivity during the day.

Benefits of adopting wearable neural sensors

Benefits of adopting wearable neural sensors

Adopting wearable neural sensors offers numerous advantages for individuals and professionals alike. These devices provide insights that can significantly improve our understanding of brain function and well-being.

One of the primary benefits is the ability to track mental states in real-time. This feature allows users to become more aware of their emotional and cognitive conditions, leading to better personal management of stress and anxiety.

Enhanced productivity

Using wearable neural sensors can lead to increased productivity, as they provide feedback on focus levels. For instance, a user can identify when they are losing concentration and make adjustments when necessary.

  • Improved focus: Users can optimize their work habits by knowing when to take breaks.
  • Efficient learning: Students can identify the best times to study based on their mental engagement.
  • Reduced stress: Real-time monitoring helps in managing anxiety levels effectively.

Another important aspect is the potential health benefits associated with using these devices. They can assist in monitoring sleep patterns, which are critical for overall health. Understanding how brain activity affects sleep can help users enhance their rest and recovery.

Applications in mental health

Wearable neural sensors have significant applications in the field of mental health. Therapists are increasingly using these devices to provide data-driven insights into patient conditions. This technology allows for personalized therapy plans based on precise neurological feedback.

Moreover, users can harness these insights to foster positive mental health practices. By recognizing triggers and patterns in their behavior, individuals can adopt healthier lifestyle choices.

How wearable neural sensors work

Wearable neural sensors operate by detecting and analyzing electrical activity in the brain. They use advanced technology to translate brain signals into understandable data, providing insights into cognitive functions.

These sensors typically consist of electrodes that are placed on the skin, often on the scalp. These electrodes measure the tiny electrical impulses produced by neuronal activity. The data collected is then processed and sent to a connected device, like a smartphone or a computer, for analysis.

Signal processing

The information gathered from the electrodes goes through signal processing algorithms. This step is critical because it enhances the raw data from the brain. Filtering out noise and identifying relevant patterns help in generating accurate insights. Users can assess their concentration levels, relaxation states, or even detect signs of stress.

  • Real-time feedback: Users receive immediate results that help them make adjustments to improve focus or relaxation.
  • Data visualization: Information is presented through graphs or charts for easy understanding.
  • Custom alerts: Users can set notifications based on specific brain activity indicators.

The wearable technology also often includes machine learning algorithms that help refine the accuracy of readings over time. As users interact with their sensors, the device learns their unique brain patterns, becoming more effective in delivering personalized information.

Applications and functionalities

These sensors are versatile and can be used across various domains, from enhancing meditation practices to optimizing athletic performance. For instance, athletes can use the data to fine-tune their training regimens based on their mental engagement during workouts. Meanwhile, students can benefit from understanding their focus levels while studying.

Through continuous usage, individuals become more aware of their mental states, ultimately fostering better health and productivity habits. The growing popularity of these devices indicates a significant shift toward more data-driven approaches in personal and professional wellness.

Future trends in wearable neural technology

Future trends in wearable neural technology

The future of wearable neural technology looks very promising. As technology evolves, we can expect breakthroughs that will enhance how we interact with our brains and improve our quality of life.

One major trend is the integration of artificial intelligence (AI) into neural sensors. This combination will allow devices to learn from users’ behaviors and refine their readings over time. By doing so, wearables will become more personalized, offering tailored recommendations based on individual brain patterns.

Advancements in materials

In addition, advancements in materials science will likely lead to lighter and more comfortable devices. Researchers are exploring flexible materials that conform to the wearer’s head, making them more user-friendly.

  • Biocompatible materials: These will minimize skin irritation and enhance comfort.
  • Ultra-thin sensors: Such innovations will facilitate seamless integration into everyday clothing or accessories.
  • Wearable textiles: Clothing embedded with neural sensors could monitor brain activity without the need for traditional hardware.

The rise of telehealth and remote monitoring is another trend to watch. As telecommuting becomes more prevalent, wearable neural sensors will allow health professionals to monitor patients’ mental health from afar. This has great implications for mental health treatment, as it can improve accessibility to care.

Emerging applications

Emerging applications will also play a crucial role in the future of wearable neural technology. For instance, developers are exploring how these sensors can assist in enhancing cognitive skills. Imagine a world where wearables help individuals boost their learning capabilities or improve their problem-solving skills.

Furthermore, there are ongoing studies into using wearable neural devices for preventing cognitive decline in older adults. By monitoring brain activity, these devices could provide early warnings and facilitate interventions to maintain cognitive health.

In summary, the adoption of wearable neural sensors is transforming our understanding of brain activity and enhancing everyday life. With advancements in technology and AI, these devices will become more personalized, paving the way for applications in mental health and cognitive enhancement. As research progresses, the future promises even more innovative solutions that can profoundly influence how we approach mental well-being and performance. Embracing this technology can lead to a healthier, more productive lifestyle.

Key Takeaways Details
🌱 Enhanced Insights Wearable neural sensors provide real-time data on brain activity.
🔍 Personalized Data AI integration allows devices to tailor feedback to individual users.
💪 Health Benefits Support mental health monitoring and cognitive improvement strategies.
🚀 Future Innovations Advancements in materials will lead to more comfortable, effective devices.
🔗 Greater Accessibility Remote monitoring expands access to mental health resources.

FAQ – Frequently Asked Questions about Wearable Neural Sensors

What are wearable neural sensors?

Wearable neural sensors are devices that monitor brain activity and provide insights into mental states, allowing users to track their cognitive functions.

How do these sensors work?

They use electrodes to measure electrical impulses in the brain, processing this data to provide real-time feedback to users.

What are the benefits of using wearable neural sensors?

They help enhance focus, manage stress, improve sleep quality, and support personalized mental health monitoring.

What future trends can we expect in wearable neural technology?

Future trends include AI integration for personalized feedback, advancements in materials for greater comfort, and applications in cognitive skill enhancement and telehealth.

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Lara Barbosa

Lara Barbosa has a degree in Journalism, with experience in editing and managing news portals. Her approach combines academic research and accessible language, turning complex topics into educational materials of interest to the general public.

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class="share-label">Share on Facebook</span> </a> </div> </div> </div> <!-- Lupa no desktop --> <div class="search-container d-none d-lg-flex ml-auto"> <button class="search-toggle"> <i class="fas fa-search"></i> </button> <form class="search-form" role="search" method="get" action="https://newsroboflow.com/"> <input type="search" name="s" class="search-input" placeholder="Search..." aria-label="Search"> <button type="submit" class="search-submit"><i class="fas fa-arrow-right"></i></button> </form> </div> </nav> </div> <div class="indicator"> <div class="indicator-position js-indicator-position"></div> </div> </header> <!-- END header --> <!-- BEGIN inner --> <div class="inner"> <article id="post-312" class="post-312 post type-post status-publish format-standard has-post-thumbnail hentry category-expert-analysis tag-p1 tag-p2"> <div class="container"> <div class="row"> <div class="col-md-8 col-lg-8 mx-auto"> <div class="section section-featured js-section-featured"> <div class="card card-featured card-top m-0"> <div class="card-body"> <h1 class="card-title">Adoption of wearable neural sensors for a smarter future</h1> <div class="card-text">Adoption of wearable neural sensors can transform how we interact with technology and improve our everyday lives.</div> <div class="card-author"> <p>By: <b>Lara Barbosa</b> on September 9, 2025 </p> </div> </div> <div class="card-preview mt-8"> </div> </div> </div> <div class="section section-content"> <div class="center"> <div class="content"> <p class="summarization"><strong>The adoption of wearable neural sensors allows users to monitor brain activity in real-time, providing valuable insights into cognitive functions and facilitating improvements in mental health, focus, and overall well-being.</strong></p> <p>The <strong>adoption of wearable neural sensors</strong> is changing the way we perceive health and technology. Imagine having real-time insights on your brain activity right at your fingertips. Curious how this could impact your daily life? Let’s dive in.</p> <p>&nbsp;</p> <h2>What are wearable neural sensors?</h2> <p>Wearable neural sensors are innovative devices that measure brain activity and provide valuable insights into our mental states. By utilizing advanced technology, these sensors capture real-time data that can enhance our understanding of cognitive functions.</p> <p><strong>What do wearable neural sensors do?</strong> They track various brain metrics, allowing users to monitor their focus, stress levels, and overall mental well-being. This technology opens up exciting possibilities for both personal and medical applications.</p> <h3>Types of wearable neural sensors</h3> <p>There are several types of wearable neural sensors available today, each designed for specific uses:</p> <ul> <li><strong>Electroencephalogram (EEG) sensors:</strong> Measure electrical activity of the brain.</li> <li><strong>Neuromodulation devices:</strong> Help in managing conditions by stimulating specific brain areas.</li> <li><strong>Biometric sensors:</strong> Track physiological responses related to brain function.</li> </ul> <p>Wearable neural sensors have gained popularity in various fields, including mental health, education, and sports. They offer athletes ways to optimize their performance by analyzing brain engagement during training. In mental health, therapists can use these sensors to track patient progress and tailor treatments accordingly.</p> <h3>How are wearable neural sensors used?</h3> <p>These devices can be incorporated into daily life through various applications. For example, meditation apps can use neural sensors to help individuals improve focus and relaxation. <strong>By adopting these sensors</strong>, users not only gain insights but can also develop healthier habits.</p> <p>Furthermore, wearable neural sensors can promote better sleep by identifying patterns in brain activity. Sleep scientists utilize this data to understand what makes for a restorative night. With this information, users can enhance their sleep quality, ultimately boosting their productivity during the day.</p> <h2>Benefits of adopting wearable neural sensors</h2> <p><img decoding="async" title="Benefits of adopting wearable neural sensors" src="https://newsroboflow.com/wp-content/uploads/2025/09/unnamed-file-151.jpg" alt="Benefits of adopting wearable neural sensors" /></p> <p>Adopting wearable neural sensors offers numerous advantages for individuals and professionals alike. These devices provide insights that can significantly improve our understanding of brain function and well-being.</p> <p><strong>One of the primary benefits</strong> is the ability to track mental states in real-time. This feature allows users to become more aware of their emotional and cognitive conditions, leading to better personal management of stress and anxiety.</p> <h3>Enhanced productivity</h3> <p>Using wearable neural sensors can lead to increased productivity, as they provide feedback on focus levels. For instance, a user can identify when they are losing concentration and make adjustments when necessary.</p> <ul> <li><strong>Improved focus:</strong> Users can optimize their work habits by knowing when to take breaks.</li> <li><strong>Efficient learning:</strong> Students can identify the best times to study based on their mental engagement.</li> <li><strong>Reduced stress:</strong> Real-time monitoring helps in managing anxiety levels effectively.</li> </ul> <p>Another important aspect is the potential health benefits associated with using these devices. They can assist in monitoring sleep patterns, which are critical for overall health. Understanding how brain activity affects sleep can help users enhance their rest and recovery.</p> <h3>Applications in mental health</h3> <p>Wearable neural sensors have significant applications in the field of mental health. Therapists are increasingly using these devices to provide data-driven insights into patient conditions. <strong>This technology</strong> allows for personalized therapy plans based on precise neurological feedback.</p> <p>Moreover, users can harness these insights to foster positive mental health practices. By recognizing triggers and patterns in their behavior, individuals can adopt healthier lifestyle choices.</p> <h2>How wearable neural sensors work</h2> <p>Wearable neural sensors operate by detecting and analyzing electrical activity in the brain. They use advanced technology to translate brain signals into understandable data, providing insights into cognitive functions.</p> <p><strong>These sensors typically consist of electrodes</strong> that are placed on the skin, often on the scalp. These electrodes measure the tiny electrical impulses produced by neuronal activity. The data collected is then processed and sent to a connected device, like a smartphone or a computer, for analysis.</p> <h3>Signal processing</h3> <p>The information gathered from the electrodes goes through signal processing algorithms. This step is critical because it enhances the raw data from the brain. <strong>Filtering out noise</strong> and identifying relevant patterns help in generating accurate insights. Users can assess their concentration levels, relaxation states, or even detect signs of stress.</p> <ul> <li><strong>Real-time feedback:</strong> Users receive immediate results that help them make adjustments to improve focus or relaxation.</li> <li><strong>Data visualization:</strong> Information is presented through graphs or charts for easy understanding.</li> <li><strong>Custom alerts:</strong> Users can set notifications based on specific brain activity indicators.</li> </ul> <p>The wearable technology also often includes machine learning algorithms that help refine the accuracy of readings over time. As users interact with their sensors, the device learns their unique brain patterns, becoming more effective in delivering personalized information.</p> <h3>Applications and functionalities</h3> <p>These sensors are versatile and can be used across various domains, from enhancing meditation practices to optimizing athletic performance. For instance, athletes can use the data to fine-tune their training regimens based on their mental engagement during workouts. Meanwhile, students can benefit from understanding their focus levels while studying.</p> <p>Through continuous usage, individuals become more aware of their mental states, ultimately fostering better health and productivity habits. The growing popularity of these devices indicates a significant shift toward more data-driven approaches in personal and professional wellness.</p> <h2>Future trends in wearable neural technology</h2> <p><img decoding="async" title="Future trends in wearable neural technology" src="https://newsroboflow.com/wp-content/uploads/2025/09/unnamed-file-180.jpg" alt="Future trends in wearable neural technology" /></p> <p>The future of wearable neural technology looks very promising. As technology evolves, we can expect breakthroughs that will enhance how we interact with our brains and improve our quality of life.</p> <p><strong>One major trend</strong> is the integration of artificial intelligence (AI) into neural sensors. This combination will allow devices to learn from users&#8217; behaviors and refine their readings over time. By doing so, wearables will become more personalized, offering tailored recommendations based on individual brain patterns.</p> <h3>Advancements in materials</h3> <p>In addition, advancements in materials science will likely lead to lighter and more comfortable devices. Researchers are exploring flexible materials that conform to the wearer&#8217;s head, making them more user-friendly.</p> <ul> <li><strong>Biocompatible materials:</strong> These will minimize skin irritation and enhance comfort.</li> <li><strong>Ultra-thin sensors:</strong> Such innovations will facilitate seamless integration into everyday clothing or accessories.</li> <li><strong>Wearable textiles:</strong> Clothing embedded with neural sensors could monitor brain activity without the need for traditional hardware.</li> </ul> <p>The rise of telehealth and remote monitoring is another trend to watch. As telecommuting becomes more prevalent, wearable neural sensors will allow health professionals to monitor patients&#8217; mental health from afar. This has great implications for mental health treatment, as it can improve accessibility to care.</p> <h3>Emerging applications</h3> <p>Emerging applications will also play a crucial role in the future of wearable neural technology. For instance, developers are exploring how these sensors can assist in enhancing cognitive skills. Imagine a world where wearables help individuals boost their learning capabilities or improve their problem-solving skills.</p> <p>Furthermore, there are ongoing studies into using wearable neural devices for preventing cognitive decline in older adults. By monitoring brain activity, these devices could provide early warnings and facilitate interventions to maintain cognitive health.</p> <p>In summary, the adoption of wearable neural sensors is transforming our understanding of brain activity and enhancing everyday life. With advancements in technology and AI, these devices will become more personalized, paving the way for applications in mental health and cognitive enhancement. As research progresses, the future promises even more innovative solutions that can profoundly influence how we approach mental well-being and performance. Embracing this technology can lead to a healthier, more productive lifestyle.</p> <div style="width: 100%; padding: 15px; box-sizing: border-box; font-family: 'Segoe UI', Roboto, sans-serif;"> <table style="width: 100%; border-collapse: collapse; font-size: 15px; text-align: left; border-radius: 12px; overflow: hidden; box-shadow: 0 5px 15px rgba(0,0,0,0.1);"> <thead> <tr style="background: linear-gradient(135deg, #006400 0%, #2E8B57 100%); color: white;"> <th style="padding: 16px; text-align: center; width: 30%;">Key Takeaways</th> <th style="padding: 16px;">Details</th> </tr> </thead> <tbody> <tr style="background-color: #f8f9fa; border-bottom: 1px solid #e0e0e0;"> <td style="padding: 14px; font-weight: 600; text-align: center;">🌱 Enhanced Insights</td> <td style="padding: 14px;">Wearable neural sensors provide real-time data on brain activity.</td> </tr> <tr style="border-bottom: 1px solid #e0e0e0;"> <td style="padding: 14px; font-weight: 600; text-align: center;">🔍 Personalized Data</td> <td style="padding: 14px;">AI integration allows devices to tailor feedback to individual users.</td> </tr> <tr style="background-color: #f8f9fa;"> <td style="padding: 14px; font-weight: 600; text-align: center;">💪 Health Benefits</td> <td style="padding: 14px;">Support mental health monitoring and cognitive improvement strategies.</td> </tr> <tr style="border-bottom: 1px solid #e0e0e0;"> <td style="padding: 14px; font-weight: 600; text-align: center;">🚀 Future Innovations</td> <td style="padding: 14px;">Advancements in materials will lead to more comfortable, effective devices.</td> </tr> <tr style="background-color: #f8f9fa;"> <td style="padding: 14px; font-weight: 600; text-align: center;">🔗 Greater Accessibility</td> <td style="padding: 14px;">Remote monitoring expands access to mental health resources.</td> </tr> </tbody> </table> </div> <h2>FAQ &#8211; Frequently Asked Questions about Wearable Neural Sensors</h2> <h3>What are wearable neural sensors?</h3> <p>Wearable neural sensors are devices that monitor brain activity and provide insights into mental states, allowing users to track their cognitive functions.</p> <h3>How do these sensors work?</h3> <p>They use electrodes to measure electrical impulses in the brain, processing this data to provide real-time feedback to users.</p> <h3>What are the benefits of using wearable neural sensors?</h3> <p>They help enhance focus, manage stress, improve sleep quality, and support personalized mental health monitoring.</p> <h3>What future trends can we expect in wearable neural technology?</h3> <p>Future trends include AI integration for personalized feedback, advancements in materials for greater comfort, and applications in cognitive skill enhancement and telehealth.</p> <p><center><a class="cta-robo-seo" title="Check Out More Content" href="https://newsroboflow.com" target="_blank" rel="noopener">Check Out More Content</a></center></p> </div> </div> </div> <div class="author-bio-section"> <div class="author-avatar"> <img alt='' src='https://secure.gravatar.com/avatar/50334f8816afcbb433f3c41be8eb55a245bf4bb34fcc130d2ffdbbd30f22c413?s=80&#038;d=mm&#038;r=g' srcset='https://secure.gravatar.com/avatar/50334f8816afcbb433f3c41be8eb55a245bf4bb34fcc130d2ffdbbd30f22c413?s=160&#038;d=mm&#038;r=g 2x' class='avatar avatar-80 photo' height='80' width='80' decoding='async'/> </div> <div class="author-info"> <h3 class="author-name">Lara Barbosa</h3> <p class="author-description">Lara Barbosa has a degree in Journalism, with experience in editing and managing news portals. 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]?(C800|C900|E400|E610|E900|E-900|F160|F180K|F180L|F180S|730|855|L160|LS740|LS840|LS970|LU6200|MS690|MS695|MS770|MS840|MS870|MS910|P500|P700|P705|VM696|AS680|AS695|AX840|C729|E970|GS505|272|C395|E739BK|E960|L55C|L75C|LS696|LS860|P769BK|P350|P500|P509|P870|UN272|US730|VS840|VS950|LN272|LN510|LS670|LS855|LW690|MN270|MN510|P509|P769|P930|UN200|UN270|UN510|UN610|US670|US740|US760|UX265|UX840|VN271|VN530|VS660|VS700|VS740|VS750|VS910|VS920|VS930|VX9200|VX11000|AX840A|LW770|P506|P925|P999|E612|D955|D802|MS323|M257)|LM-G710",Sony:"SonyST|SonyLT|SonyEricsson|SonyEricssonLT15iv|LT18i|E10i|LT28h|LT26w|SonyEricssonMT27i|C5303|C6902|C6903|C6906|C6943|D2533|SOV34|601SO|F8332",Asus:"Asus.*Galaxy|PadFone.*Mobile",Xiaomi:"^(?!.*\\bx11\\b).*xiaomi.*$|POCOPHONE F1|MI 8|Redmi Note 9S|Redmi Note 5A Prime|N2G47H|M2001J2G|M2001J2I|M1805E10A|M2004J11G|M1902F1G|M2002J9G|M2004J19G|M2003J6A1G",NokiaLumia:"Lumia [0-9]{3,4}",Micromax:"Micromax.*\\b(A210|A92|A88|A72|A111|A110Q|A115|A116|A110|A90S|A26|A51|A35|A54|A25|A27|A89|A68|A65|A57|A90)\\b",Palm:"PalmSource|Palm",Vertu:"Vertu|Vertu.*Ltd|Vertu.*Ascent|Vertu.*Ayxta|Vertu.*Constellation(F|Quest)?|Vertu.*Monika|Vertu.*Signature",Pantech:"PANTECH|IM-A850S|IM-A840S|IM-A830L|IM-A830K|IM-A830S|IM-A820L|IM-A810K|IM-A810S|IM-A800S|IM-T100K|IM-A725L|IM-A780L|IM-A775C|IM-A770K|IM-A760S|IM-A750K|IM-A740S|IM-A730S|IM-A720L|IM-A710K|IM-A690L|IM-A690S|IM-A650S|IM-A630K|IM-A600S|VEGA PTL21|PT003|P8010|ADR910L|P6030|P6020|P9070|P4100|P9060|P5000|CDM8992|TXT8045|ADR8995|IS11PT|P2030|P6010|P8000|PT002|IS06|CDM8999|P9050|PT001|TXT8040|P2020|P9020|P2000|P7040|P7000|C790",Fly:"IQ230|IQ444|IQ450|IQ440|IQ442|IQ441|IQ245|IQ256|IQ236|IQ255|IQ235|IQ245|IQ275|IQ240|IQ285|IQ280|IQ270|IQ260|IQ250",Wiko:"KITE 4G|HIGHWAY|GETAWAY|STAIRWAY|DARKSIDE|DARKFULL|DARKNIGHT|DARKMOON|SLIDE|WAX 4G|RAINBOW|BLOOM|SUNSET|GOA(?!nna)|LENNY|BARRY|IGGY|OZZY|CINK FIVE|CINK PEAX|CINK PEAX 2|CINK SLIM|CINK SLIM 2|CINK +|CINK KING|CINK PEAX|CINK SLIM|SUBLIM",iMobile:"i-mobile (IQ|i-STYLE|idea|ZAA|Hitz)",SimValley:"\\b(SP-80|XT-930|SX-340|XT-930|SX-310|SP-360|SP60|SPT-800|SP-120|SPT-800|SP-140|SPX-5|SPX-8|SP-100|SPX-8|SPX-12)\\b",Wolfgang:"AT-B24D|AT-AS50HD|AT-AS40W|AT-AS55HD|AT-AS45q2|AT-B26D|AT-AS50Q",Alcatel:"Alcatel",Nintendo:"Nintendo (3DS|Switch)",Amoi:"Amoi",INQ:"INQ",OnePlus:"ONEPLUS",GenericPhone:"Tapatalk|PDA;|SAGEM|\\bmmp\\b|pocket|\\bpsp\\b|symbian|Smartphone|smartfon|treo|up.browser|up.link|vodafone|\\bwap\\b|nokia|Series40|Series60|S60|SonyEricsson|N900|MAUI.*WAP.*Browser"},tablets:{iPad:"iPad|iPad.*Mobile",NexusTablet:"Android.*Nexus[\\s]+(7|9|10)",GoogleTablet:"Android.*Pixel C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE 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([E|M]10|M8))\\b|Maxwell.*Lite|Maxwell.*Plus",HuaweiTablet:"MediaPad|MediaPad 7 Youth|IDEOS S7|S7-201c|S7-202u|S7-101|S7-103|S7-104|S7-105|S7-106|S7-201|S7-Slim|M2-A01L|BAH-L09|BAH-W09|AGS-L09|CMR-AL19",NecTablet:"\\bN-06D|\\bN-08D",PantechTablet:"Pantech.*P4100",BronchoTablet:"Broncho.*(N701|N708|N802|a710)",VersusTablet:"TOUCHPAD.*[78910]|\\bTOUCHTAB\\b",ZyncTablet:"z1000|Z99 2G|z930|z990|z909|Z919|z900",PositivoTablet:"TB07STA|TB10STA|TB07FTA|TB10FTA",NabiTablet:"Android.*\\bNabi",KoboTablet:"Kobo Touch|\\bK080\\b|\\bVox\\b Build|\\bArc\\b 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\\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 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\\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW 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Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i,tabletPattern:/android|ipad|playbook|silk/i};var h,i=Object.prototype.hasOwnProperty;return g.FALLBACK_PHONE="UnknownPhone",g.FALLBACK_TABLET="UnknownTablet",g.FALLBACK_MOBILE="UnknownMobile",h="isArray"in Array?Array.isArray:function(a){return"[object Array]"===Object.prototype.toString.call(a)},function(){var a,b,c,e,f,j,k=g.mobileDetectRules;for(a in k.props)if(i.call(k.props,a)){for(b=k.props[a],h(b)||(b=[b]),f=b.length,e=0;e<f;++e)c=b[e],j=c.indexOf("[VER]"),j>=0&&(c=c.substring(0,j)+"([\\w._\\+]+)"+c.substring(j+5)),b[e]=new RegExp(c,"i");k.props[a]=b}d(k.oss),d(k.phones),d(k.tablets),d(k.uas),d(k.utils),k.oss0={WindowsPhoneOS:k.oss.WindowsPhoneOS,WindowsMobileOS:k.oss.WindowsMobileOS}}(),g.findMatch=function(a,b){for(var c in a)if(i.call(a,c)&&a[c].test(b))return c;return null},g.findMatches=function(a,b){var c=[];for(var d in a)i.call(a,d)&&a[d].test(b)&&c.push(d);return c},g.getVersionStr=function(a,b){var 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