FinD: Detection of Finger Movement using Smart Watch

Hiroto Ishikawa, Wataro Takahashi, Y. Tobe
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引用次数: 1

Abstract

There were several trials to detect the movement of fingers, they necessitated special sensors, either rings or gloves, attached to the fingers. Based on the background, we have developed a system to identify the moved finger called FinD using the acceleration signals obtained with Commercial Off-The-Shelf (COTS) smart watches. We have investigated two methods: Non Matrix Factorization (NMF)-based (FinD-NMF) and time-series-based (FinD-TS) analyses. We have compared the two methods for three fingers with three subjects and found that FinD-TS exceeds FinD-NMF in the accuracy up to 40%-80%.
FinD:使用智能手表检测手指运动
为了检测手指的运动,进行了几次试验,他们需要在手指上安装特殊的传感器,戒指或手套。基于此背景,我们开发了一个系统来识别移动的手指称为FinD利用加速度信号从商用现货(COTS)智能手表获得。我们研究了两种方法:基于非矩阵分解(NMF)的分析(FinD-NMF)和基于时间序列的分析(FinD-TS)。我们比较了两种方法对三根手指和三名受试者的识别结果,发现FinD-TS比FinD-NMF准确率高40%-80%。
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