論文

2019年5月

User's Height Estimation based on Acceleration from Smartphone Sensors

2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
  • Yusuke Sato
  • ,
  • Saneyasu Yamaguchi
  • ,
  • Takeshi Kamiyama
  • ,
  • Akira Fukuda
  • ,
  • Masato Oguchi

記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICCE-TW46550.2019.8991753

The recent advance of machine learning enabled a variety of estimation data from sensors. In this study, we investigate estimation of the heights of the users of smartphones from the sensed data for the next step of the studies of estimation based on the machine learning. We propose a method for estimating the two-classed height, which is tall or short, by the linear regression. Our evaluation shows that the proposed method estimated the height class with 92% accuracy in case of persons whose heights are far from the median height.

リンク情報
DOI
https://doi.org/10.1109/ICCE-TW46550.2019.8991753
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080113610&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85080113610&origin=inward
ID情報
  • DOI : 10.1109/ICCE-TW46550.2019.8991753
  • SCOPUS ID : 85080113610

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