Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures

Ergonomics of human workers is one of the key elements in design and evaluation of production processes. Human ergonomics have a major impact on productivity as well as chronic health risks incurred by inappropriate working postures and conditions. In this paper we propose a novel method for estimat...

Full description

Bibliographic Details
Main Authors: Luka Peternel, Daniel Tofte Schøn, Cheng Fang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2020.590241/full
id doaj-7c30c0722bc94f8c86ecf9664f602524
record_format Article
spelling doaj-7c30c0722bc94f8c86ecf9664f6025242021-01-08T04:23:58ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182021-01-011410.3389/fnbot.2020.590241590241Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm PosturesLuka Peternel0Daniel Tofte Schøn1Cheng Fang2Delft Haptics Lab, Department of Cognitive Robotics, Delft University of Technology, Delft, NetherlandsSDU Robotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, DenmarkSDU Robotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, DenmarkErgonomics of human workers is one of the key elements in design and evaluation of production processes. Human ergonomics have a major impact on productivity as well as chronic health risks incurred by inappropriate working postures and conditions. In this paper we propose a novel method for estimating and communicating the ergonomic work condition called Binary Work-Condition Map, which provides a visualized feedback about work conditions of different configurations of an arm. The map is of binary nature and is derived by imposing the desired thresholds on considered ergonomic and safety related criteria. Therefore, the suggested arm postures in the map guarantee that all considered criteria are satisfied. This eliminates the ambiguity compared to state-of-the-art maps that uses continuous scales derived from weighted sum of multiple ergonomics criteria. In addition, to combine the advantages of both the binary map and the continuous map, we additionally propose a Hybrid Work-Condition Map that rules out unsuitable workspace with the binary map approach and renders the suitable workspace with the continuous map approach. The proposed approach was tested in simulation for various tasks and conditions. In addition, we conducted subjective evaluation experiments to compare the proposed methods with the state-of-the art method regarding the usability. The results indicated that the binary map is simpler to use, while the hybrid map is a good tradeoff between the binary and the continuous map. In selecting the map, strong points of each map should be considered with respect to the requirements of a specific application and task.https://www.frontiersin.org/articles/10.3389/fnbot.2020.590241/fullWork-Condition Mapergonomic human arm posturebiomechanical modelgraphical user interfaceinteractive exploration
collection DOAJ
language English
format Article
sources DOAJ
author Luka Peternel
Daniel Tofte Schøn
Cheng Fang
spellingShingle Luka Peternel
Daniel Tofte Schøn
Cheng Fang
Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
Frontiers in Neurorobotics
Work-Condition Map
ergonomic human arm posture
biomechanical model
graphical user interface
interactive exploration
author_facet Luka Peternel
Daniel Tofte Schøn
Cheng Fang
author_sort Luka Peternel
title Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
title_short Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
title_full Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
title_fullStr Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
title_full_unstemmed Binary and Hybrid Work-Condition Maps for Interactive Exploration of Ergonomic Human Arm Postures
title_sort binary and hybrid work-condition maps for interactive exploration of ergonomic human arm postures
publisher Frontiers Media S.A.
series Frontiers in Neurorobotics
issn 1662-5218
publishDate 2021-01-01
description Ergonomics of human workers is one of the key elements in design and evaluation of production processes. Human ergonomics have a major impact on productivity as well as chronic health risks incurred by inappropriate working postures and conditions. In this paper we propose a novel method for estimating and communicating the ergonomic work condition called Binary Work-Condition Map, which provides a visualized feedback about work conditions of different configurations of an arm. The map is of binary nature and is derived by imposing the desired thresholds on considered ergonomic and safety related criteria. Therefore, the suggested arm postures in the map guarantee that all considered criteria are satisfied. This eliminates the ambiguity compared to state-of-the-art maps that uses continuous scales derived from weighted sum of multiple ergonomics criteria. In addition, to combine the advantages of both the binary map and the continuous map, we additionally propose a Hybrid Work-Condition Map that rules out unsuitable workspace with the binary map approach and renders the suitable workspace with the continuous map approach. The proposed approach was tested in simulation for various tasks and conditions. In addition, we conducted subjective evaluation experiments to compare the proposed methods with the state-of-the art method regarding the usability. The results indicated that the binary map is simpler to use, while the hybrid map is a good tradeoff between the binary and the continuous map. In selecting the map, strong points of each map should be considered with respect to the requirements of a specific application and task.
topic Work-Condition Map
ergonomic human arm posture
biomechanical model
graphical user interface
interactive exploration
url https://www.frontiersin.org/articles/10.3389/fnbot.2020.590241/full
work_keys_str_mv AT lukapeternel binaryandhybridworkconditionmapsforinteractiveexplorationofergonomichumanarmpostures
AT danieltofteschøn binaryandhybridworkconditionmapsforinteractiveexplorationofergonomichumanarmpostures
AT chengfang binaryandhybridworkconditionmapsforinteractiveexplorationofergonomichumanarmpostures
_version_ 1724344888963629056