Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications
Abstract 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 aff...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-01-01
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| Series: | ROBOMECH Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40648-023-00239-x |
| _version_ | 1797945803090690048 |
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| author | Priyanka Ramasamy Enrique Calderon-Sastre Gunarajulu Renganathan Swagata Das Yuichi Kurita |
| author_facet | Priyanka Ramasamy Enrique Calderon-Sastre Gunarajulu Renganathan Swagata Das Yuichi Kurita |
| author_sort | Priyanka Ramasamy |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-10T21:02:02Z |
| format | Article |
| id | doaj.art-54a5a255afd14ca4a577f4f6ce21e021 |
| institution | Directory Open Access Journal |
| issn | 2197-4225 |
| language | English |
| last_indexed | 2024-04-10T21:02:02Z |
| publishDate | 2023-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | ROBOMECH Journal |
| spelling | doaj.art-54a5a255afd14ca4a577f4f6ce21e0212023-01-22T12:17:24ZengSpringerOpenROBOMECH Journal2197-42252023-01-0110111510.1186/s40648-023-00239-xSoft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applicationsPriyanka Ramasamy0Enrique Calderon-Sastre1Gunarajulu Renganathan2Swagata Das3Yuichi Kurita4Graduate School of Advanced Science and Engineering, Hiroshima UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityAbstract 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.https://doi.org/10.1186/s40648-023-00239-xSoft wearableSoft actuatorDexterity trainingSimulationControl feedbackActuation characteristics |
| spellingShingle | Priyanka Ramasamy Enrique Calderon-Sastre Gunarajulu Renganathan Swagata Das Yuichi Kurita Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications ROBOMECH Journal Soft wearable Soft actuator Dexterity training Simulation Control feedback Actuation characteristics |
| title | Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications |
| title_full | Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications |
| title_fullStr | Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications |
| title_full_unstemmed | Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications |
| title_short | Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications |
| title_sort | soft actuators based skill training wearables a review on the interaction modes feedback types vr scenarios sensors utilization and applications |
| topic | Soft wearable Soft actuator Dexterity training Simulation Control feedback Actuation characteristics |
| url | https://doi.org/10.1186/s40648-023-00239-x |
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