WES: The Study of Wearable Gesture Recognition Device Applied in Smart Home

• Main Authors: Yi-De Wu, 吳一德
• Other Authors: 李明穗
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/73272261026873213163

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === Wearable Electronic Domestic Appliances Control System (WES) combines wearable device on index finger and forearm to construct an intuitive controlling schema. The system prototype consists of three parts: WES controller, WES receiver, and local controller. The WES controller uses infra-red ray signal to identify WES receiver on the target electronic domestic appliance, and then sends command determined by users’ gesture recognition result via 315 Mhz RF signal. The gesture recognition system is implemented by learning MLP weights offline using over 8,000 gesture data, and embedded prediction code on STM32F4 develop board in WES controller. The accuracy of the model is 91.25%. The main contribution of this study is providing an intuitive way to control smart home appliances and building up dataset for gesture recognition on wearable device on index finger.