Parolini, FrancieleBecker, KlausGoethel, MárcioPires, RicardoDereste, SaraErvilha, UlyssesVilas-Boas, João PauloSantos, RubimRubim Silva Santos, ManuelCarvalho Santos Parolini, Franciele2026-03-232026-03-232025-02Parolini, F., Becker, Goethel, M., Pires, R., Dereste, S., Ervilha, U., Vilas-Boas, J. P., & Rubim Santos, R. (2025, fevereiro). Visualizing low back pain: Analysis of facial expressions for objective measurement through image processing. 11o CONGRESSO NACIONAL DE BIOMECÂNICA. https://cnb2025.tecnico.ulisboa.pt/prog_cnb2025_web/abstracts_cnb225/ID_293_922_RESUMO_CNB_2025.pdfhttp://hdl.handle.net/10400.22/32161Detailed coding of facial activity provides a mechanism for understanding the biological, behavioral, cognitive and social processes of pain that self-report measures do not address[1]. Facial activity appears to be the most consistent expression of pain, mediated by specific neurological circuits[2]. Studies have shown that facial expressions of pain are consistent and universal across different cultures, reflecting automatic responses to nociceptive stimuli[3, 4]. Thus, the proposed objective was to develop software to objectively measure experimentally induced acute low back pain during a submaximal strength test, using facial activity coding to capture biological and behavioral processes that complement traditional self-reporting methods.engArtificial intelligenceInduced acute low back painStrengthFacial expressionconference poster