Yuichi Hattori, Sozo Inoue, Takemori Masaki, Go Hirakawa, Osamu Sudoh
{"title":"Gathering Large Scale Human Activity Information Using Mobile Sensor Devices","authors":"Yuichi Hattori, Sozo Inoue, Takemori Masaki, Go Hirakawa, Osamu Sudoh","doi":"10.1109/BWCCA.2010.159","DOIUrl":null,"url":null,"abstract":"In this paper, we show current status of gathering large scale human activity information using mobile sensor devices. If human activity can be objectively measured, we can expect various applications, such as health care and agriculture. We developed an activity information gathering system using mobile sensor devices with three axis accelerometers, and gathered about 10,000 activity data of 170 people during 5 months so far. As a result, we found specific activities which are easily gathered and ones which are not. Moreover, we found some problems of motivation measures.","PeriodicalId":196401,"journal":{"name":"2010 International Conference on Broadband, Wireless Computing, Communication and Applications","volume":"14 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Broadband, Wireless Computing, Communication and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2010.159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper, we show current status of gathering large scale human activity information using mobile sensor devices. If human activity can be objectively measured, we can expect various applications, such as health care and agriculture. We developed an activity information gathering system using mobile sensor devices with three axis accelerometers, and gathered about 10,000 activity data of 170 people during 5 months so far. As a result, we found specific activities which are easily gathered and ones which are not. Moreover, we found some problems of motivation measures.