Work

Auto-AzKNIOSH: an automatic NIOSH evaluation with Azure Kinect coupled with task recognition

Year: 2024

Type: article

Source: Ergonomics

DOI: 10.1080/00140139.2024.2433027

Authors: Francesco Lolli, Antonio Maria Coruzzolo, Chiara Forgione, Mirco Peron, Fabio Sgarbossa

Institutions: University of Modena and Reggio Emilia, NEOMA Business School, Norwegian University of Science and Technology

Language: English

Topic: Ergonomics and Musculoskeletal Disorders

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Norges Forskningsråd

OpenAlex ID: W4405025359

FWCI: 2.407

Cites: 50

Cited by: 5

Related to: 10