FinD:使用智能手表检测手指运动

Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction Pub Date : 2018-09-20 DOI:10.1145/3266157.3266226

Hiroto Ishikawa, Wataro Takahashi, Y. Tobe

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引用次数: 1

摘要

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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FinD: Detection of Finger Movement using Smart Watch

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%.

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Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction

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