Accessibility settings

This paper is in the following e-collection/theme issue:

Usability Evaluation Case Studies (290) mHealth for Wellness, Behavior Change and Prevention (3446) Wearable Devices and Sensors (1225) Portable and Mobile Technologies for Rehabilitation (218) Evaluation and Research Methodology for mHealth (259) Biomechanics (31)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90316, first published .
Grip Strength Estimation Using Input Data From a Commodity Smartphone: Model Development and Validation Study

Grip Strength Estimation Using Input Data From a Commodity Smartphone: Model Development and Validation Study

Grip Strength Estimation Using Input Data From a Commodity Smartphone: Model Development and Validation Study

Authors of this article:

Komei Tajima1 Author Orcid Image ;   Kaori Ikematsu2 Author Orcid Image ;   Toshiya Isomoto2 Author Orcid Image ;   Kunihiro Kato3 Author Orcid Image ;   Yuta Sugiura1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Komei Tajima   1 , BEng ;   Kaori Ikematsu   2 , PhD ;   Toshiya Isomoto   2 , PhD ;   Kunihiro Kato   3 , PhD ;   Yuta Sugiura   1 , PhD

1 Department of Information and Computer Science, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Yokohama, Japan

2 LY Corporation, Tokyo, Japan

3 Japan Women's University, Tokyo, Japan

Corresponding Author:

  • Yuta Sugiura, PhD
  • Department of Information and Computer Science
  • Faculty of Science and Technology
  • Keio University
  • 3-14-1, Hiyoshi, Kohoku-ku
  • Yokohama, Kanagawa, Yokohama 223-8522
  • Japan
  • Phone: 81 45-566-1769 ext 48289
  • Email: sugiura@keio.jp