Evaluation of Smartphone Camera Positioning on Artificial Intelligence Pose Estimation Accuracy for Exercise Detection: Observational Study
AI-based PE effectiveness for exercise tracking is significantly affected by smartphone positioning. Diagonal and frontal views at mid-range distances (180-200 cm) provided the highest detection accuracy and counting precision. These findings offer actionable guidance for developers, clinicians, coaches, and users optimizing mobile health exercise monitoring.
Authors
- Soraia Ferreira (ORCID: https://orcid.org/0000-0003-3556-2380)
- José A. Parraça (ORCID: https://orcid.org/0000-0002-5254-7409)
- Ana Paula Giordano
- Guilherme Viveiros
- Salomé Azevedo
- Federico Guede-Fernández
- Paulo Pereira
- Eduarda Oliosi
Institutions
- Universidade do Porto (PT)
- University of Évora (PT)
- Universidade Católica Portuguesa (PT)
- Instituto Superior de Gestão (PT)
- Institute of Flight (US)
- Hospital Braga (PT)
- Instituto Superior de Tecnologias Avançadas (PT)
- Universidade Nova de Lisboa (PT)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2026-01-28
- DOI
- https://doi.org/10.2196/82412
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00