Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis

Contributo in Atti di convegno
Data di Pubblicazione:
2024
Citazione:
Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis / Grandi, F.; Khamaisi, R. K.; Morganti, A.; Peruzzini, M.; Pellicciari, M.. - 2:(2024), pp. 518-526. ( 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 Porto, PORTUGAL JUN 18-22, 2023) [10.1007/978-3-031-38165-2_61].
Abstract:
The 4.0 revolution is leading to increasingly automated, flexible, and intelligent manufacturing systems that require greater complexity to manage during maintenance and process control. In this context the optimization of the human-machine interaction plays a crucial important role in the design of modern industrial systems. Virtual Reality (VR) offers realistic simulation environments where users can be involved to replicate specific human tasks, detecting and solving problems before they occur. The paper proposes a human-centric digital design methodology that integrates VR technologies with human data analysis tools to support the design or redesign of complex industrial systems. Different wearable devices have been used to collect data about physical and mental user conditions to provide an early assessment of the operators’ workload, while comparing different design solutions into the virtual space. An industrial use case related to the redesign of packaging automated machines was used to validate the proposed method and tools: a preliminary correlation between physiological parameters and machines interactions was found.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
digital simulation; ergonomics and human factors; Human data analysis; Human-centred design; Virtual Reality
Elenco autori:
Grandi, F.; Khamaisi, R. K.; Morganti, A.; Peruzzini, M.; Pellicciari, M.
Autori di Ateneo:
KHAMAISI RICCARDO KARIM
PELLICCIARI Marcello
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1329829
Titolo del libro:
FAIM 2023 - 32 INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING
Pubblicato in:
LECTURE NOTES IN MECHANICAL ENGINEERING
Series
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.2.4.0