Towards unobtrusive detection and realistic attribute analysis of daily activity sequences using a finger-worn device
Crossref DOI link: https://doi.org/10.1007/s10489-015-0649-y
Published Online: 2015-03-10
Published Print: 2015-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhou, Yinghui
Cheng, Zixue
Jing, Lei
Hasegawa, Tatsuya
Text and Data Mining valid from 2015-03-10