Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications

ROBOMECH Journal

Review

Priyanka Ramasamy¹  Yuichi Kurita¹  Enrique Calderon-Sastre¹  Swagata Das¹  Gunarajulu Renganathan¹ 

[1] Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1, Kagamiyama, 739-8527, Higashi-Hiroshima, Hiroshima, Japan;

关键词: Soft wearable;    Soft actuator;    Dexterity training;    Simulation;    Control feedback;    Actuation characteristics;   

DOI  :  10.1186/s40648-023-00239-x

 received in 2022-09-03, accepted in 2023-01-03,  发布年份 2023

来源: Springer

【 摘 要 】

Dexterity training helps improve our motor skills while engaging in precision tasks such as surgery in the medical field and playing musical instruments. In addition, post-stroke recovery also requires extensive dexterity training to recover the original motor skills associated with the affected portion of the body. Recent years have seen a rise in the usage of soft-type actuators to perform such training, giving higher levels of comfort, compliance, portability, and adaptability. Their capabilities of performing high dexterity and safety enhancement make them specific biomedical applications and serve as a sensitive tools for physical interaction. The scope of this article discusses the soft actuator types, characterization, sensing, and control based on the interaction modes and the 5 most relevant articles that touch upon the skill improvement models and interfacing nature of the task and the precision it demands. This review attempts to report the latest developments that prioritize soft materials over hard interfaces for dexterity training and prospects of end-user satisfaction.

【 授权许可】

CC BY   
© The Author(s) 2023

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