Explainable artificial intelligence models for accurate physical activity prediction using wearable device data
- DOI
- 10.1016/j.jsams.2026.03.022
- Published
- 2026-09
- Container
- Journal of Science and Medicine in Sport
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jsams.2026.03.022,
title = {Explainable artificial intelligence models for accurate physical activity prediction using wearable device data},
author = {Byunggul Lim and Sang-jun Park and Jun-Hyun Bae and Gabrielli T. de Mello and Chad D. Rethorst},
year = {2026},
journal = {Journal of Science and Medicine in Sport},
doi = {10.1016/j.jsams.2026.03.022},
url = {https://doi.org/10.1016/j.jsams.2026.03.022}
}RIS
TY - JOUR TI - Explainable artificial intelligence models for accurate physical activity prediction using wearable device data AU - Byunggul Lim AU - Sang-jun Park AU - Jun-Hyun Bae AU - Gabrielli T. de Mello AU - Chad D. Rethorst PY - 2026 JO - Journal of Science and Medicine in Sport DO - 10.1016/j.jsams.2026.03.022 UR - https://doi.org/10.1016/j.jsams.2026.03.022 ER -
APA
Lim, B., Park, S., Bae, J., Mello, G. T. D., & Rethorst, C. D. (2026). Explainable artificial intelligence models for accurate physical activity prediction using wearable device data. Journal of Science and Medicine in Sport. https://doi.org/10.1016/j.jsams.2026.03.022
Source records
- crossref · retrieved 2026-09-25T14:37:00.838Z