ErgoReport: a holistic posture assessment framework based on inertial data and deep learning

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 7; pp. 1 - 26
• Main Authors: Martins, Diogo Renato Dias, Cerqueira, Sara Maria Brito Araújo, Pombeiro, Ana, Ferreira da Silva, Alexandre, Rocha, Ana Maria A. C., Santos, Cristina
• Format: Journal Article
• Language: English
• Published: Switzerland Multidisciplinary Digital Publishing Institute (MDPI) 03.04.2025; MDPI AG; MDPI
• Subjects: Adult; Algorithms; Analysis; Artificial intelligence; Automation; Biomechanical Phenomena; Comparative analysis; Deep Learning; Eletrónica e Informática; Empowerment; Engenharia e Tecnologia; Engenharia Eletrotécnica; Engenharia Médica; Ergonomic risk assessment; Ergonomics; Ergonomics - methods; Female; Humans; Identification and classification; Indústria; inertial-based posture recognition; inovação e infraestruturas; Male; Musculoskeletal diseases; Musculoskeletal Diseases - physiopathology; Neural networks; Posture; Posture - physiology; Posture monitoring; Risk assessment; Saúde de qualidade; Sensors; work-related musculoskeletal disorders; Workers; Portugal; inertial-based posture recognition; work-related musculoskeletal disorders; deep learning; ergonomic risk assessment; posture monitoring

Awkward postures are a significant contributor to work-related musculoskeletal disorders (WRMSDs), which represent great social and economic burdens. Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk breakdown to expedite the typical time-consuming er...