تقرير
ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing
| العنوان: | ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing |
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| المؤلفون: | Sun, Wei, Li, Franklin Mingzhe, Huang, Congshu, Lei, Zhenyu, Steeper, Benjamin, Tao, Songyun, Tian, Feng, Zhang, Cheng |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Human-Computer Interaction |
| الوصف: | ThumbTrak is a novel wearable input device that recognizes 12 micro-finger poses in real-time. Poses are characterized by the thumb touching each of the 12 phalanges on the hand. It uses a thumb-ring, built with a flexible printed circuit board, which hosts nine proximity sensors. Each sensor measures the distance from the thumb to various parts of the palm or other fingers. ThumbTrak uses a support-vector-machine (SVM) model to classify finger poses based on distance measurements in real-time. A user study with ten participants showed that ThumbTrak could recognize 12 micro finger poses with an average accuracy of 93.6%. We also discuss potential opportunities and challenges in applying ThumbTrak in real-world applications. Comment: MobileHCI '21: The ACM International Conference on Mobile Human-Computer Interaction, September 27 - October 1, 2021, Toulouse, France |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1145/3447526.3472060 |
| URL الوصول: | http://arxiv.org/abs/2105.14680 |
| رقم الأكسشن: | edsarx.2105.14680 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1145/3447526.3472060 |
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