3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment

As the elderly population increases, the importance of the caregiver’s role in the quality of life of the elderly has increased. To achieve effective feedback in terms of care and nursing education, it is important to design a robot that can express emotions or feel pain like an actual human through...

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Main Authors: Miran Lee, Dinh Tuan Tran, Joo-Ho Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2021.632015/full
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author Miran Lee
Dinh Tuan Tran
Joo-Ho Lee
author_facet Miran Lee
Dinh Tuan Tran
Joo-Ho Lee
author_sort Miran Lee
collection DOAJ
description As the elderly population increases, the importance of the caregiver’s role in the quality of life of the elderly has increased. To achieve effective feedback in terms of care and nursing education, it is important to design a robot that can express emotions or feel pain like an actual human through visual-based feedback. This study proposes a care training assistant robot (CaTARo) system with 3D facial pain expression that simulates an elderly person for improving the skills of workers in elderly care. First, in order to develop an accurate and efficient system for elderly care training, this study introduces a fuzzy logic–based care training evaluation method that can calculate the pain level of a robot for giving the feedback. Elderly caregivers and trainees performed the range of motion exercise using the proposed CaTARo. We obtained quantitative data from CaTARo, and the pain level was calculated by combining four key parameters using the fuzzy logic method. Second, we developed a 3D facial avatar for use in CaTARo that is capable of expressing pain based on the UNBC-McMaster Pain Shoulder Archive, and we then generated four pain groups with respect to the pain level. To mimic the conditions for care training with actual humans, we designed the system to provide pain feedback based on the opinions of experts. The pain feedback was expressed in real time by using a projector and a 3D facial mask during care training. The results of the study confirmed the feasibility of utilizing a care training robot with pain expression for elderly care training, and it is concluded that the proposed approach may be used to improve caregiving and nursing skills upon further research.
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spelling doaj.art-1e4442055c504f109f4028c721df6f8c2022-12-21T22:10:15ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442021-04-01810.3389/frobt.2021.6320156320153D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education EnvironmentMiran Lee0Dinh Tuan Tran1Joo-Ho Lee2Advanced Intelligent System Laboratory, Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, JapanAdvanced Intelligent System Laboratory, Faculty of Information Science and Engineering, Ritsumeikan University, Shiga, JapanAdvanced Intelligent System Laboratory, Faculty of Information Science and Engineering, Ritsumeikan University, Shiga, JapanAs the elderly population increases, the importance of the caregiver’s role in the quality of life of the elderly has increased. To achieve effective feedback in terms of care and nursing education, it is important to design a robot that can express emotions or feel pain like an actual human through visual-based feedback. This study proposes a care training assistant robot (CaTARo) system with 3D facial pain expression that simulates an elderly person for improving the skills of workers in elderly care. First, in order to develop an accurate and efficient system for elderly care training, this study introduces a fuzzy logic–based care training evaluation method that can calculate the pain level of a robot for giving the feedback. Elderly caregivers and trainees performed the range of motion exercise using the proposed CaTARo. We obtained quantitative data from CaTARo, and the pain level was calculated by combining four key parameters using the fuzzy logic method. Second, we developed a 3D facial avatar for use in CaTARo that is capable of expressing pain based on the UNBC-McMaster Pain Shoulder Archive, and we then generated four pain groups with respect to the pain level. To mimic the conditions for care training with actual humans, we designed the system to provide pain feedback based on the opinions of experts. The pain feedback was expressed in real time by using a projector and a 3D facial mask during care training. The results of the study confirmed the feasibility of utilizing a care training robot with pain expression for elderly care training, and it is concluded that the proposed approach may be used to improve caregiving and nursing skills upon further research.https://www.frontiersin.org/articles/10.3389/frobt.2021.632015/fullelderly care training robotsocial robothuman-centered roboticssensor systems for elderly care trainingpain expressioncare training
spellingShingle Miran Lee
Dinh Tuan Tran
Joo-Ho Lee
3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
Frontiers in Robotics and AI
elderly care training robot
social robot
human-centered robotics
sensor systems for elderly care training
pain expression
care training
title 3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
title_full 3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
title_fullStr 3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
title_full_unstemmed 3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
title_short 3D Facial Pain Expression for a Care Training Assistant Robot in an Elderly Care Education Environment
title_sort 3d facial pain expression for a care training assistant robot in an elderly care education environment
topic elderly care training robot
social robot
human-centered robotics
sensor systems for elderly care training
pain expression
care training
url https://www.frontiersin.org/articles/10.3389/frobt.2021.632015/full
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AT jooholee 3dfacialpainexpressionforacaretrainingassistantrobotinanelderlycareeducationenvironment