IFitness: A Deep Learning-Based Physical Fitness Motion Detection System for Elderly People

Wan Jung Chang, Jian Ping Su, Chia Hao Chen, Shu Ching Liu, Chih Ching Chang, Mei Ling Tsai, Liang Bi Chen

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

4 Citations (Scopus)

Abstract

This paper proposes a deep learning-based physical fitness motion system, named iFitness, which consists of a camera, an AI edge module, and a fitness management platform. iFitness uses a camera to capture images of the elderly when they perform physical fitness exercises. Experimental results demonstrate that iFitness can effectively recognize the fitness exercise status for elderly.

Original languageEnglish
Title of host publication2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages458-459
Number of pages2
ISBN (Electronic)9781665436762
DOIs
Publication statusPublished - 2021
Event10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan
Duration: 2021 Oct 122021 Oct 15

Publication series

Name2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

Conference

Conference10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Country/TerritoryJapan
CityKyoto
Period21-10-1221-10-15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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