Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting
Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 186-196
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Vietnam-Korea University of Information and Communication Technology
2024
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oai:elib.vku.udn.vn:123456789-40322024-07-31T02:10:01Z Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting Nguyen, Tuan Nghia Phan, Duy Kien Tang, Ngoc Ha Vu, Chi Cuong Conducted thread ID-CNN Automotive Touchpad Gesture recognition Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 186-196 Abstract. In the automotive industry, the shift towards controlling various car functions via a touch screen on the dashboard offers many contemporary experiences. In particular, integrating multiple control operations on a single component, such as buttons and touch screens, is increasingly popular. The combination reduces the complexity associated with mechanical buttons on the vehicles while still ensuring full functionalities. In this paper, we propose a system that uses flexible sensors with conductive threads attached directly to the car's leather interior. The goal is to collect the necessary information through capacitance changes during various touch operations to control the automotive system. Besides, the touch signal results are enhanced using a ID convolutional neural network (ID-CNN) algorithm. The ID-CNN model can recognize 15 types of touch actions with an accuracy of 99.47% and an average recognition time of 2.025ms. More specifically, the small-size CNN model can be applied on embedded boards with limited hardware resources. This incredible capability offers excellent potential in the field of the Internet of Things (IoT) or embedded machine learning. 2024-07-31T02:09:58Z 2024-07-31T02:09:58Z 2024-07 Working Paper 978-604-80-9774-5 https://elib.vku.udn.vn/handle/123456789/4032 en CITA; application/pdf Vietnam-Korea University of Information and Communication Technology |
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Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
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| language |
English |
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Conducted thread ID-CNN Automotive Touchpad Gesture recognition |
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Conducted thread ID-CNN Automotive Touchpad Gesture recognition Nguyen, Tuan Nghia Phan, Duy Kien Tang, Ngoc Ha Vu, Chi Cuong Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| description |
Proceedings of the 13th International Conference on Information Technology and Its Applications (CITA 2024); pp: 186-196 |
| format |
Working Paper |
| author |
Nguyen, Tuan Nghia Phan, Duy Kien Tang, Ngoc Ha Vu, Chi Cuong |
| author_facet |
Nguyen, Tuan Nghia Phan, Duy Kien Tang, Ngoc Ha Vu, Chi Cuong |
| author_sort |
Nguyen, Tuan Nghia |
| title |
Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| title_short |
Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| title_full |
Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| title_fullStr |
Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| title_full_unstemmed |
Flexible Capacitive Touchpad for Real-time Gesture Recognition in Automotive Lighting |
| title_sort |
flexible capacitive touchpad for real-time gesture recognition in automotive lighting |
| publisher |
Vietnam-Korea University of Information and Communication Technology |
| publishDate |
2024 |
| url |
https://elib.vku.udn.vn/handle/123456789/4032 |
| _version_ |
1849199040132022272 |