Real time RULA assessment using Kinect v2 sensor

被引：123

作者：

Manghisi, Vito Modesto ^{[1
]}

Uva, Antonio Emmanuele ^{[1
]}

Fiorentino, Michele ^{[1
]}

Bevilacqua, Vitoantonio ^{[1
]}

Trotta, Gianpaolo Francesco ^{[1
]}

Monno, Giuseppe ^{[1
]}

机构：

[1] Polytech Inst Bari, Bari, Italy

来源：

APPLIED ERGONOMICS | 2017年 / 65卷

关键词：

Kinect v2; RULA; Ergonomics; HUMAN JOINT MOTION; UPPER-LIMB; MICROSOFT KINECT(TM); ISB RECOMMENDATION; VALIDITY; RELIABILITY; ACCURACY; SHOULDER; DEFINITIONS; EXPOSURE;

D O I：

10.1016/j.apergo.2017.02.015

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The evaluation of the exposure to risk factors in workplaces and their subsequent redesign represent one of the practices to lessen the frequency of work-related musculoskeletal disorders. In this paper we present K2RULA, a semi-automatic RULA evaluation software based on the Microsoft Kinect v2 depth camera, aimed at detecting awkward postures in real time, but also in off-line analysis. We validated our tool with two experiments. In the first one, we compared the K2RULA grand-scores with those obtained with a reference optical motion capture system and we found a statistical perfect match according to the Landis and Koch scale (proportion agreement index = 0.97, k = 0.87). In the second experiment, we evaluated the agreement of the grand-scores returned by the proposed application with those obtained by a RULA expert rater, finding again a statistical perfect match (proportion agreement index = 0.96, k = 0.84), whereas a commercial software based on Kinect v1 sensor showed a lower agreement (proportion agreement index = 0.82, k = 0.34). (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：481 / 491

页数：11

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