A self-powered always-on vision-based wake-up detector for wearable gesture user interfaces
| Autor: | Byeong-Gyu Nam, Seongrim Choi, Hyeon-Gu Do, Ara Kim, Junsik Woo |
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| Rok vydání: | 2017 |
| Předmět: |
Vision based
business.industry Computer science Machine vision Natural user interface 020208 electrical & electronic engineering Detector Wearable computer 02 engineering and technology Wake Electronic Optical and Magnetic Materials Human–computer interaction Gesture recognition 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Image sensor User interface business Wearable technology Computer hardware Gesture |
| Zdroj: | A-SSCC |
| Popis: | Hand gesture recognition is one of the secure natural user interface (NUI) mechanisms on wearable devices since it does not reveal user's intention in public domain unlike the speech recognition. However, its energy dissipation is very demanding as it requires compute-intensive machine vision processing. Recently, wake-up detectors have been proposed to improve the energy-efficiency of always-on sensing nature of the NUI systems by switching off the main functional blocks while just keeping the wake-up detector alive during idle time. However, vision-based wake-up detectors still require power-consuming vision processing so we propose a self-powered vision wake-up detector to alleviate burdens on limited battery and thus facilitate always-on wake-up detection for the wearable gesture UIs. Our work has four key features to realize the self-powered wake-up detection; 1) imaging-harvesting dual-mode CMOS image sensor (CIS) with 0.6V 3T pixels, 2) subthreshold SRAM with disturb-free 0.3V 10T bitcells, 3) hand detection engine with modified Haar-like filters invariant to skin-colors, and 4) on-die switched capacitor DC-DC converter for lightweight system design. Thanks to the features combined, this work achieves selfpowered operation of always-on vision wake-up detection. |
| Databáze: | OpenAIRE |
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