Developing a Computational Representation of Human Physical Activity and Exercise Using Open Ontology-Based Approach: A Tai Chi Use Case

Eloisa Nguyen, Rebecca Z. Lin, Yang Gong, Cui Tao, Muhammad Tuan Amith

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

Abstract

Many studies have examined the impact of exercise and other physical activities in influencing the health outcomes of individuals. These physical activities entail an intricate sequence and series of physical anatomy, physiological movement, movement of the anatomy, etc. To better understand how these components interact with one another and their downstream impact on health outcomes, there needs to be an information model that conceptualizes all entities involved. In this study, we introduced our early development of an ontology model to computationally describe human physical activities and the various entities that compose each activity. We developed an open-sourced biomedical ontology called the Kinetic Human Movement Ontology that reused OBO Foundry terminologies and encoded in OWL2. We applied this ontology in modeling and linking a specific Tai Chi movement. The contribution of this work could enable modeling of information relating to human physical activity, like exercise, and lead towards information standardization of human movement for analysis. Future work will include expanding our ontology to include more expressive information and completely modeling entire sets of movement from human physical activity.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-39
Number of pages9
ISBN (Electronic)9798350383737
DOIs
StatePublished - 2024
Externally publishedYes
Event12th IEEE International Conference on Healthcare Informatics, ICHI 2024 - Orlando, United States
Duration: Jun 3 2024Jun 6 2024

Publication series

NameProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024

Conference

Conference12th IEEE International Conference on Healthcare Informatics, ICHI 2024
Country/TerritoryUnited States
CityOrlando
Period6/3/246/6/24

Keywords

  • anatomy
  • knowledge engineering
  • knowledge representation
  • ontology
  • physiology
  • semantic technology
  • semantic web

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Health Informatics

Fingerprint

Dive into the research topics of 'Developing a Computational Representation of Human Physical Activity and Exercise Using Open Ontology-Based Approach: A Tai Chi Use Case'. Together they form a unique fingerprint.

Cite this