Viiat-Hand: A Reach-and-Grasp Restoration System Integrating Voice Interaction, Computer Vision, Auditory and Tactile Feedback for Non-Sighted Amputees

For non-sighted and visually impaired (BVI) amputees, the combined loss of vision and grasping abilities turns the seemingly simple task of reaching and grasping into a significant challenge. This letter introduces a novel multi-sensory prosthesis system designed for BVI amputees to assist in perception, navigation, and grasping tasks. The system integrates voice interaction, environmental perception, grasp guidance, collaborative control, and auditory/tactile feedback. Specifically, it processes user commands, provides environmental data via auditory/tactile channels, and manages collaborative control of grasp gestures and wrist angles for stable object handling. The prototype, viiat-hand, was experimentally tested with eight non-disabled and four non-sighted subjects performing reach-and-grasp tasks, showing that users could accurately reach (average time:15.24 s) and securely grasp objects (average time:17.23 s) in an indoor setting. The system also proved to be user-friendly, requiring minimal training for users to become adept.

Authors

Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-08-22
DOI
https://doi.org/10.1109/lra.2024.3448218
Citations
9
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
3.08

Funders

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article

Viiat-Hand: A Reach-and-Grasp Restoration System Integrating Voice Interaction, Computer Vision, Auditory and Tactile Feedback for Non-Sighted Amputees

Li Jiang, Jinghui Dai, Chunhao Peng, Dapeng Yang et al.
9 citations
IEEE Robotics and Automation Letters
Tactile and Sensory Interactions
3.08
article

Viiat-Hand: A Reach-and-Grasp Restoration System Integrating Voice Interaction, Computer Vision, Auditory and Tactile Feedback for Non-Sighted Amputees

Li Jiang, Jinghui Dai, Chunhao Peng, Dapeng Yang, Ming Cheng, Zhao De-yu
article en
9 citations

Abstract

For non-sighted and visually impaired (BVI) amputees, the combined loss of vision and grasping abilities turns the seemingly simple task of reaching and grasping into a significant challenge. This letter introduces a novel multi-sensory prosthesis system designed for BVI amputees to assist in perception, navigation, and grasping tasks. The system integrates voice interaction, environmental perception, grasp guidance, collaborative control, and auditory/tactile feedback. Specifically, it processes user commands, provides environmental data via auditory/tactile channels, and manages collaborative control of grasp gestures and wrist angles for stable object handling. The prototype, viiat-hand, was experimentally tested with eight non-disabled and four non-sighted subjects performing reach-and-grasp tasks, showing that users could accurately reach (average time:15.24 s) and securely grasp objects (average time:17.23 s) in an indoor setting. The system also proved to be user-friendly, requiring minimal training for users to become adept.

IEEE Robotics and Automation LettersVol. 9(10)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 8%
Tactile and Sensory Interactions
3.08
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Viiat-Hand: A Reach-and-Grasp Restoration System Integrating Voice Interaction, Computer Vision, Auditory and Tactile Feedback for Non-Sighted Amputees — Li Jiang, Jinghui Dai, et al. · IEEE Robotics and Automation Letters (2024) | TGRS Research Map | TGRS