Evaluation of Smartphone Camera Positioning on Artificial Intelligence Pose Estimation Accuracy for Exercise Detection: Observational Study

Eduarda Oliosi   ^{1, 2, 3} , BS, MS ;   Soraia Ferreira   ^{1, 4, 5} , MS, PhD ;   Ana Paula Giordano   ^{1, 6} , MS, PhD ;   Guilherme Viveiros   ⁷ , MS ;   José Parraca   ^{4, 5} , PhD ;   Paulo Pereira   ^{4, 5} , MS ;   Federico Guede-Fernández   ^{1, 2} , PhD ;   Salomé Azevedo   ^{1, 7, 8, 9} , PhD

¹ Value for Health CoLAB, Lisbon, Portugal

² Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys‑UNL), Physics Department, Nova School of Science and Technology, Nova University of Lisbon, Caparica, Portugal

³ Research Centre for Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal

⁴ Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal

⁵ Comprehensive Health Research Centre (CHRC), Escola de Saúde e Desenvolvimento Humano, Departamento de Ciências Médicas, Universidade de Évora, Évora, Portugal

⁶ Research Unit in Business and Economics, Católica Lisbon School of Business and Economics (CUBE), Catholic University of Portugal, Lisbon, Portugal

⁷ Department of Machine Learning, Dotmoovs, Braga, Portugal

⁸ Department of Engineering and Management, Instituto Superior Técnico (CEG‑IST), University of Lisbon, Lisbon, Portugal

⁹ Comprehensive Health Research Center (CHRC), Nova Medical School, Nova University of Lisbon, Lisbon, Portugal