Hoang Truong
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, low-cost 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.
- Ke-Yu Chen et al. 2016. Finexus: Tracking Precise Motions of Multiple Fingertips Using Magnetic Sensing ACM CHI. Google Scholar
Digital Library
- Artem Dementyev et al. 2014. WristFlex: low-power gesture input with wrist-worn pressure sensors ACM UIST. Google ScholarDigital Library
- Thalmic-Labs. 2017. Myo Armband. https://www.myo.com/ (Online; accessed Aug 20, 2017).Google Scholar
- Hoang Truong et al. 2017. Capacitive Sensing 3D-printed Wristband for Enriched Hand Gesture Recognition ACM MobiSys - WearSys. Google ScholarDigital Library
- M. Ye et al. 2011. Accurate 3D pose estimation from a single depth image IEEE ICCV. Google ScholarDigital Library
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