{"title":"FinD: Detection of Finger Movement using Smart Watch","authors":"Hiroto Ishikawa, Wataro Takahashi, Y. Tobe","doi":"10.1145/3266157.3266226","DOIUrl":null,"url":null,"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%.","PeriodicalId":151070,"journal":{"name":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3266157.3266226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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%.
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