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Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review.
Antonaci, Francesca Giada; Olivetti, Elena Carlotta; Marcolin, Federica; Castiblanco Jimenez, Ivonne Angelica; Eynard, Benoît; Vezzetti, Enrico; Moos, Sandro.
Affiliation
  • Antonaci FG; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
  • Olivetti EC; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
  • Marcolin F; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
  • Castiblanco Jimenez IA; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
  • Eynard B; Department of Mechanical Systems Engineering, Université de Technologie de Compiègne, Centre Pierre Guillaumat, BP 60319, Rue du Docteur Schweitzer, Cedex, F-60203 Compiègne, France.
  • Vezzetti E; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
  • Moos S; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Sensors (Basel) ; 24(17)2024 Aug 23.
Article in En | MEDLINE | ID: mdl-39275383
ABSTRACT
The paradigm of Industry 5.0 pushes the transition from the traditional to a novel, smart, digital, and connected industry, where well-being is key to enhance productivity, optimize man-machine interaction and guarantee workers' safety. This work aims to conduct a systematic review of current methodologies for monitoring and analyzing physical and cognitive ergonomics. Three research questions are addressed (1) which technologies are used to assess the physical and cognitive well-being of workers in the workplace, (2) how the acquired data are processed, and (3) what purpose this well-being is evaluated for. This way, individual factors within the holistic assessment of worker well-being are highlighted, and information is provided synthetically. The analysis was conducted following the PRISMA 2020 statement guidelines. From the sixty-five articles collected, the most adopted (1) technological solutions, (2) parameters, and (3) data analysis and processing were identified. Wearable inertial measurement units and RGB-D cameras are the most prevalent devices used for physical monitoring; in the cognitive ergonomics, and cardiac activity is the most adopted physiological parameter. Furthermore, insights on practical issues and future developments are provided. Future research should focus on developing multi-modal systems that combine these aspects with particular emphasis on their practical application in real industrial settings.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Workplace / Ergonomics Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Italy Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Workplace / Ergonomics Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Italy Country of publication: Switzerland