User's Height Estimation based on Acceleration from Smartphone Sensors

Yusuke Sato, Saneyasu Yamaguchi, Takeshi Kamiyama, Akira Fukuda, Masato Oguchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

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.

本文言語英語
ホスト出版物のタイトル2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728132792
DOI
出版ステータス出版済み - 5 2019
イベント6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, 台湾省、中華民国
継続期間: 5 20 20195 22 2019

出版物シリーズ

名前2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

会議

会議6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
Country台湾省、中華民国
CityYilan
Period5/20/195/22/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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