Deep Learning for Sensor-Based Sport Performance and Health Monitoring: A Review of Wearable, Vision-Based, and Multimodal Sensing Approaches.
- DOI
- 10.3390/s26144384
- Published
- 2026 Jul 10
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/s26144384,
title = {Deep Learning for Sensor-Based Sport Performance and Health Monitoring: A Review of Wearable, Vision-Based, and Multimodal Sensing Approaches.},
author = {Liu L and Hu X and Wei H and Yang Z and Sun T},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26144384},
url = {https://doi.org/10.3390/s26144384}
}RIS
TY - JOUR TI - Deep Learning for Sensor-Based Sport Performance and Health Monitoring: A Review of Wearable, Vision-Based, and Multimodal Sensing Approaches. AU - Liu L AU - Hu X AU - Wei H AU - Yang Z AU - Sun T PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26144384 UR - https://doi.org/10.3390/s26144384 ER -
APA
L, L., X, H., H, W., Z, Y., & T, S. (2026). Deep Learning for Sensor-Based Sport Performance and Health Monitoring: A Review of Wearable, Vision-Based, and Multimodal Sensing Approaches.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26144384
Source records
- pubmed · retrieved 2026-11-10T08:00:39.329Z
- europe-pmc · retrieved 2026-11-10T08:00:39.337Z