TY - GEN
T1 - Developing a Computational Representation of Human Physical Activity and Exercise Using Open Ontology-Based Approach
T2 - 12th IEEE International Conference on Healthcare Informatics, ICHI 2024
AU - Nguyen, Eloisa
AU - Lin, Rebecca Z.
AU - Gong, Yang
AU - Tao, Cui
AU - Amith, Muhammad Tuan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - anatomy
KW - knowledge engineering
KW - knowledge representation
KW - ontology
KW - physiology
KW - semantic technology
KW - semantic web
UR - http://www.scopus.com/inward/record.url?scp=85203704281&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85203704281&partnerID=8YFLogxK
U2 - 10.1109/ICHI61247.2024.00012
DO - 10.1109/ICHI61247.2024.00012
M3 - Conference contribution
AN - SCOPUS:85203704281
T3 - Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
SP - 31
EP - 39
BT - Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 June 2024 through 6 June 2024
ER -