Machine-learning based fitness behavior recognition from camera and sensor modalities

Chih Chieh Fang, Ting Chen Mou, Shih Wei Sun, Pao Chi Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We implemented a prototype system to recognize fitness behaviors using the skeleton information from the camera modality and the accelerometer/gyro sensor values. In addition, by fusing the camera modality and the sensor modality, the recognition accuracy of the complex fitness behaviors can be improved.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages249-250
Number of pages2
ISBN (Electronic)9781538692691
DOIs
StatePublished - 15 Jan 2019
Event1st IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018 - Taichung, Taiwan
Duration: 10 Dec 201812 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018

Conference

Conference1st IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2018
Country/TerritoryTaiwan
CityTaichung
Period10/12/1812/12/18

Keywords

  • Behavior-recognition
  • Camera
  • Fusion
  • Multi-modal
  • Sensor

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