ArticleFrontiers in robotics and AI2019
A Novel Robot-Aided Upper Limb Rehabilitation Training System Based on Multimodal Feedback.
Article in Frontiers in robotics and AI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Enhancing stroke rehabilitation with whole-hand haptic rendering: development and clinical usability evaluation of a novel upper-limb rehabilitation device.Journal of neuroengineering and rehabilitation · 2024Article
- I-BaR: integrated balance rehabilitation framework.Frontiers in neurorobotics · 2024Article
- CAM-Vtrans: real-time sports training utilizing multi-modal robot data.Frontiers in neurorobotics · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
During robot-aided rehabilitation exercises, monotonous, and repetitive actions can, to the subject, feel tedious and tiring, so improving the subject's motivation and active participation in the training is very important. A novel robot-aided upper limb rehabilitation training system, based on multimodal feedback, is proposed in this investigation. To increase the subject's interest and participation, a friendly graphical user interface and diversiform game-based rehabilitation training tasks incorporating multimodal feedback are designed, to provide the subject with colorful and engaging motor training. During this training, appropriate visual, auditory, and tactile feedback is employed to improve the subject's motivation via multi-sensory incentives relevant to the training performance. This approach is similar to methods applied by physiotherapists to keep the subject focused on motor training tasks. The experimental results verify the effectiveness of the designed multimodal feedback strategy in promoting the subject's participation and motivation.
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