Design of a compact low-power human-computer interaction equipment for hand motion

Xianwei Wu; Wenguang Jin

doi:10.1117/12.2265214

23 January 2017 Design of a compact low-power human-computer interaction equipment for hand motion

Xianwei Wu, Wenguang Jin

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103222M (2017) https://doi.org/10.1117/12.2265214
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

Human-Computer Interaction (HCI) raises demand of convenience, endurance, responsiveness and naturalness. This paper describes a design of a compact wearable low-power HCI equipment applied to gesture recognition. System combines multi-mode sense signals: the vision sense signal and the motion sense signal, and the equipment is equipped with the depth camera and the motion sensor. The dimension (40 mm × 30 mm) and structure is compact and portable after tight integration. System is built on a module layered framework, which contributes to real-time collection (60 fps), process and transmission via synchronous confusion with asynchronous concurrent collection and wireless Blue 4.0 transmission. To minimize equipment’s energy consumption, system makes use of low-power components, managing peripheral state dynamically, switching into idle mode intelligently, pulse-width modulation (PWM) of the NIR LEDs of the depth camera and algorithm optimization by the motion sensor. To test this equipment’s function and performance, a gesture recognition algorithm is applied to system. As the result presents, general energy consumption could be as low as 0.5 W.

Citation Download Citation

Xianwei Wu and Wenguang Jin "Design of a compact low-power human-computer interaction equipment for hand motion", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222M (23 January 2017); https://doi.org/10.1117/12.2265214

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KEYWORDS

Cameras

Sensors

Human-computer interaction

Image sensors

Gesture recognition

Signal processing

Imaging systems

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