Development of a Foundation AI-Based Multimodal Human Machine Interaction Framework for Intelligent Accelerometer-Assisted Robotic Hand Glove Control in Parkinson's Disease
This study proposes a Foundation AI-based multimodal framework that integrates a sensor-rich robotic glove with voice, vision, and physiological data processing to deliver personalized, adaptive upper-limb rehabilitation for Parkinson's disease patients through real-time movement intention recognition and impedance-controlled assistance.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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