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Study on Operation Images for Persons with Severe Motor Dysfunctions to Participate in Caregiver Assistive Tasks via Teleoperated Robot

Takumi KAWAMURA, Toru MIZUYA, Icihro MURAISHI, Kenichi Abe, Asuka MANO, Tsuyoshi NAKAYAMA, Yuji Higashi

Year
2023
Citations
1

Abstract

We intend to realize a new concept of social participation support in which persons with severe motor dysfunctions can operate robots remotely to support caregivers and nursing home users. In this study, we investigated the issues of task efficiency and load caused by operation images. To simplify the recognition of the correspondence between many operation images, we used two methods that merge the supporting image with the primary one. Two merged operation images were compared using a concept-based delivery task which includes movement and alignment, revealing the characteristics of each operation image. In the future, we plan to conduct a detailed analysis, measure additional experimental data on persons with motor dysfunctions, and improve rotational operation.

Keywords

Computer science

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