DEMO: Low-power capacitive sensing wristband for hand gesture recognition

Hoang Truong, Phuc Nguyen, Nam Bui, Anh Nguyen, Tam Vu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationS3 2017 - Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, co-located with MobiCom 2017
PublisherAssociation for Computing Machinery, Inc
Pages21
Number of pages1
ISBN (Electronic)9781450351454
DOIs
StatePublished - Oct 20 2017
Event9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, S3 2017 - Snowbird, United States
Duration: Oct 20 2017 → …

Publication series

NameS3 2017 - Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, co-located with MobiCom 2017

Conference

Conference9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, S3 2017
Country/TerritoryUnited States
CitySnowbird
Period10/20/17 → …

Keywords

  • Capacitive sensing
  • DIY devices
  • Hand gesture recognition

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