Proceedings of the Human Factors and Ergonomics Society, volume 68, issue 1, pages 1372-1373

Computer Vision Embedded Post-Processing Algorithm on Lifting Risks

Peiran Liu ¹

Haozhi Chen ¹

Denny Yu ¹

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Purdue University, West LaFayette, IN, USA |

Publication type: Journal Article

Publication date: 2024-09-28

SAGE

Journal: Proceedings of the Human Factors and Ergonomics Society

SJR: 0.209

CiteScore: —

Impact factor: —

ISSN: 10711813, 21695067

DOI: 10.1177/10711813241280936

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Abstract

This research aims to enhance ergonomic assessments by integrating computer vision algorithms with NIOSH lifting index parameters (HM, VM, DM, AM). Current methods are manual and subjective, lacking real-time analysis. Utilizing the coordinates of 17 body joint points, our algorithm automates this process, improving the precision, objectivity, and timeliness of ergonomic evaluations.

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Publisher

SAGE

Journal

Proceedings of the Human Factors and Ergonomics Society

SJR

0.209

CiteScore

—

Impact factor

—

ISSN

10711813 (Print, Electronic)

21695067 (Print, Electronic)