WES: The Study of Wearable Gesture Recognition Device Applied in Smart Home
Date Issued
2015
Date
2015
Author(s)
Wu, Yi-De
Abstract
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.
Subjects
accelerometer-based gesture recognition
wearable device
smart home
electronic domestic appliances control
embedded system
Type
thesis
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