Reconfigurable Robotic Exercising Companion

Sachinthana, WKR; Wijegunawardana, ID; Samarakoon, SMBP; Muthugala, MAVJ; Elara, MR

Reconfigurable Robotic Exercising Companion

Sachinthana, WKR Wijegunawardana, ID Samarakoon, SMBP Muthugala, MAVJ Elara, MR

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Applied Sciences (Switzerland), 2024, 14, (16)
Issue Date:: 2024-08-01

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Field	Value	Language
dc.contributor.author	Sachinthana, WKR
dc.contributor.author	Wijegunawardana, ID
dc.contributor.author	Samarakoon, SMBP
dc.contributor.author	Muthugala, MAVJ
dc.contributor.author	Elara, MR
dc.date.accessioned	2025-01-23T23:24:56Z
dc.date.available	2025-01-23T23:24:56Z
dc.date.issued	2024-08-01
dc.identifier.citation	Applied Sciences (Switzerland), 2024, 14, (16)
dc.identifier.issn	2076-3417
dc.identifier.issn	2076-3417
dc.identifier.uri	http://hdl.handle.net/10453/184140
dc.description.abstract	Regular exercise plays a crucial role in promoting overall well-being in today’s lifestyle. However, individuals often find it challenging to properly execute exercises, including maintaining correct postures and appropriate movement speeds. Robotic companions have emerged as potential solutions to assist and motivate users during exercise sessions. This research paper proposes a novel robot companion designed for exercise scenarios using a reconfigurable robot. In contrast to existing non-reconfigurable robotic companions, the use of a reconfigurable robot provides added flexibility in generating emotions. The system incorporates a module that utilizes fuzzy logic to evaluate the correctness of exercise performance based on posture variations and movement speeds. The robot generates emotions and provides feedback to users based on the exercise correctness score. The robot expresses emotions through reconfigurations, motion patterns, and variations in robot speed. This emotion-based feedback could be helpful for creating engaging and interactive exercise experiences. Apart from emotion generation, the robot utilizes vocal cues as feedback. Experimental results validate the effectiveness of the proposed system in evaluating exercise correctness and demonstrating meaningful emotion transitions. The findings of this work contribute to the development of innovative robotic companions for improving exercise adherence and overall well-being.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Applied Sciences (Switzerland)
dc.relation.isbasedon	10.3390/app14167249
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Reconfigurable Robotic Exercising Companion
dc.type	Journal Article
utslib.citation.volume	14
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-01-23T23:24:54Z
pubs.issue	16
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	16

Abstract:

Regular exercise plays a crucial role in promoting overall well-being in today’s lifestyle. However, individuals often find it challenging to properly execute exercises, including maintaining correct postures and appropriate movement speeds. Robotic companions have emerged as potential solutions to assist and motivate users during exercise sessions. This research paper proposes a novel robot companion designed for exercise scenarios using a reconfigurable robot. In contrast to existing non-reconfigurable robotic companions, the use of a reconfigurable robot provides added flexibility in generating emotions. The system incorporates a module that utilizes fuzzy logic to evaluate the correctness of exercise performance based on posture variations and movement speeds. The robot generates emotions and provides feedback to users based on the exercise correctness score. The robot expresses emotions through reconfigurations, motion patterns, and variations in robot speed. This emotion-based feedback could be helpful for creating engaging and interactive exercise experiences. Apart from emotion generation, the robot utilizes vocal cues as feedback. Experimental results validate the effectiveness of the proposed system in evaluating exercise correctness and demonstrating meaningful emotion transitions. The findings of this work contribute to the development of innovative robotic companions for improving exercise adherence and overall well-being.

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http://hdl.handle.net/10453/184140