Yasushi Makihara, Takuhiro Kimura, Fumio Okura, Ikuhisa Mitsugami, Masataka Niwa, Chihiro Aoki, Atsuyuki Suzuki, D. Muramatsu, Y. Yagi
{"title":"Gait collector: An automatic gait data collection system in conjunction with an experience-based long-run exhibition","authors":"Yasushi Makihara, Takuhiro Kimura, Fumio Okura, Ikuhisa Mitsugami, Masataka Niwa, Chihiro Aoki, Atsuyuki Suzuki, D. Muramatsu, Y. Yagi","doi":"10.1109/ICB.2016.7550090","DOIUrl":null,"url":null,"abstract":"Biometric data collection is an important first step toward biometrics research practice, although it is a considerably laborious task, particularly for behavioral biometrics such as gait. We therefore propose an automatic gait data collection system in conjunction with an experience-based exhibition. In the exhibition, participants enjoy an attractive online demonstration of state-of-the-art video-based gait analysis comprising intuitive gait feature measurement and gait-based age estimation while we simultaneously collect their gait data along with informed consent. At the time of this publication, we are holding the exhibition in association with a science museum and have successfully collected the gait data of 47,615 subjects over 246 days, which has already exceeded the size of the largest existing gait database in the world.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Biometrics (ICB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICB.2016.7550090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Biometric data collection is an important first step toward biometrics research practice, although it is a considerably laborious task, particularly for behavioral biometrics such as gait. We therefore propose an automatic gait data collection system in conjunction with an experience-based exhibition. In the exhibition, participants enjoy an attractive online demonstration of state-of-the-art video-based gait analysis comprising intuitive gait feature measurement and gait-based age estimation while we simultaneously collect their gait data along with informed consent. At the time of this publication, we are holding the exhibition in association with a science museum and have successfully collected the gait data of 47,615 subjects over 246 days, which has already exceeded the size of the largest existing gait database in the world.