Developing a computational representation of human physical activity and exercise using open ontology-based approach:...

Area of Science:

• Biomedical informatics
• Kinesiology
• Ontology engineering

Background:

• Physical activities like exercise significantly impact health outcomes.
• Understanding the complex interactions of anatomy and physiology in movement is crucial.
• A standardized information model is needed to represent human physical activities.

Purpose of the Study:

• To develop an ontology for computationally describing human physical activities.
• To model the entities and sequences involved in physical movements.
• To facilitate the analysis of health outcomes related to physical activity.

Main Methods:

• Developed an open-sourced biomedical ontology named the Kinetic Human Movement Ontology.
• Reused existing terminologies from OBO Foundry.
• Encoded the ontology using OWL2.
• Applied the ontology to model a specific Tai Chi movement.

Main Results:

• Successfully created an ontology to represent human physical activity components.
• Demonstrated the ontology's application in modeling a Tai Chi movement.
• Established a foundation for linking movement information to health outcomes.

Conclusions:

• The Kinetic Human Movement Ontology enables computational description and modeling of human physical activities.
• This work contributes to information standardization for human movement analysis.
• Future expansion will enhance expressivity and model complete movement sets.