User's Height Estimation based on Acceleration from Smartphone Sensors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132792
DOIs
Publication statusPublished - May 2019
Event6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan, Province of China
Duration: May 20 2019May 22 2019

Publication series

Name2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
CountryTaiwan, Province of China
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

Fingerprint Dive into the research topics of 'User's Height Estimation based on Acceleration from Smartphone Sensors'. Together they form a unique fingerprint.

  • Cite this

    Sato, Y., Yamaguchi, S., Kamiyama, T., Fukuda, A., & Oguchi, M. (2019). User's Height Estimation based on Acceleration from Smartphone Sensors. In 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 [8991753] (2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW46550.2019.8991753