@inproceedings{a1142ea0ff04428a81468a621ab79051,
title = "DEMO: Low-power capacitive sensing wristband for hand gesture recognition",
abstract = "Along with the rapid development of human-computer interaction (HCI), controlling objects and smart devices remotely from afar has become the trend to satisfy the needs of consumers. Hand gesture recognition is among the methods that highly attract the attention in this field yet there still exists many aspect to explore and improve. We propose a low-cost low-power wristband-form hand gesture recognition system utilizing capacitive sensing technique. We provide an open source system which includes low-power, lowcost hardware components and user-friendly software stack. This system will be available for users and developers to customize various hand gesture set and integrate into third part application, from computer remote command to video game controller.",
keywords = "Capacitive sensing, DIY devices, Hand gesture recognition",
author = "Hoang Truong and Phuc Nguyen and Nam Bui and Anh Nguyen and Tam Vu",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, S3 2017 ; Conference date: 20-10-2017",
year = "2017",
month = oct,
day = "20",
doi = "10.1145/3131348.3131358",
language = "English",
series = "S3 2017 - Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, co-located with MobiCom 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "21",
booktitle = "S3 2017 - Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, co-located with MobiCom 2017",
}