Academic Journal

Sensor-Based and AI-Driven Ergonomic Seated Posture Detection for Workplace Risk Prevention.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Sensor-Based and AI-Driven Ergonomic Seated Posture Detection for Workplace Risk Prevention.
Συγγραφείς: Teixeira T; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Barbosa G; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Areias B; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Guerra A; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Covas M; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal., Faria S; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Machado R; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Amorim J; CeNTI-Centre for Nanotechnology and Advanced Materials, 4760-034 Vila Nova de Famalicão, Portugal., Ferreira L; Sensing Future Technologies, 3045-508 Coimbra, Portugal., Costa B; Sensing Future Technologies, 3045-508 Coimbra, Portugal., Martins J; Everythink, Lda, 4200-135 Porto, Portugal., Dias E; Everythink, Lda, 4200-135 Porto, Portugal., Fonseca S; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal., Costa R; PLUX-Wireless Biosignals, S.A., 1050-059 Lisboa, Portugal., Ramião N; INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, 4200-465 Porto, Portugal.
Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 13; Vol. 26 (16). Date of Electronic Publication: 2026 Aug 13.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s): Original Publication: Basel, Switzerland : MDPI, c2000-
Ιατρικοί όροι (MeSH): Ergonomics*/methods , Posture*/physiology , Sitting Position* , Artificial Intelligence*, Musculoskeletal Diseases/prevention & control ; Humans ; Workplace ; Working Conditions ; Machine Learning
Περίληψη: Background: Work-related musculoskeletal disorders (WMSDs) remain one of the most prevalent occupational health problems worldwide. To prevent the development of these WMSDs in an office space, a chair designed for office monitoring capable of accurately identifying ten representative seated postures and measuring environmental factors was developed and validated.
Methods: To evaluate office working conditions, the chair has three embedded Printed Circuit Boards (PCBs): one directed towards seat pressure management, one directed towards environmental measurements and one PCB to manage the entire system. Machine learning approaches were then applied to establish a model that effectively predicts the seated position. The environmental data were also analyzed.
Results: The seated position classification presented an accuracy of 80.99% in controlled conditions, while in a real-world context the accuracy was 65.98%. The environmental management showed low errors, except for the PM2.5 and PM10, with relative errors above 30%.
Conclusions: This work presents an initial promising first step for an ergonomic office management solution.
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Grant Information: C630926586-629 00465198 HfPT, PRR, European NextGeneration; UID/50022/2025 Laboratório Associado de Energia, Transportes e Aeronáutica
Contributed Indexing: Keywords: human posture recognition; musculoskeletal disorders; office work environment; postural risk; smart office systems
Entry Date(s): Date Created: 20260827 Date Completed: 20260827 Latest Revision: 20260829
Update Code: 20260829
PubMed Central ID: PMC13517499
DOI: 10.3390/s26165120
PMID: 42655430
Βάση Δεδομένων: MEDLINE