A posture evaluation system for fitness videos based on recurrent neural network

An Lun Liu, Wei Ta Chu

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

1 Citation (Scopus)

Abstract

We present a posture evaluation system especially for fitness. Given a fitness video where a user repetitively performs a movement for fitness, we first detect human posture at each video frame. The evolution of posture in consecutive frames is then characterized by a recurrent neural network (RNN). This RNN examines this movement and outputs the degree of goodness (badness). This examination is important for users because prompt inspection of bad movement avoids injury and improves effectiveness of fitness. We demonstrate that the proposed system can accurately detect bad postures when the users perform two movements called Dumbbell Lateral Raise and Biceps Curl. We believe this work is one of the very few studies of using deep neural networks for fitness evaluation.

Original languageEnglish
Title of host publicationProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-188
Number of pages4
ISBN (Electronic)9781728193625
DOIs
Publication statusPublished - 2020 Nov
Event2020 International Symposium on Computer, Consumer and Control, IS3C 2020 - Taichung, Taiwan
Duration: 2020 Nov 132020 Nov 16

Publication series

NameProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020

Conference

Conference2020 International Symposium on Computer, Consumer and Control, IS3C 2020
Country/TerritoryTaiwan
CityTaichung
Period20-11-1320-11-16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A posture evaluation system for fitness videos based on recurrent neural network'. Together they form a unique fingerprint.

Cite this