Abstract
With the increase of stroke patients, wearable hand rehabilitation exoskeleton devices used to do mechanical rehabilitation training have received attention from researchers. Most of the rigid hand exoskeletons can only perform simple flexion and extension training of the finger as a whole, and not single joint training. Therefore, the subject of this paper is to develop a new multimodal underdriven index finger exoskeleton based on gear drive. The data analysis is compared to achieve the desired specific gesture. This device allows the user to further train the finger and also helps the medical practitioner to better determine the individual joint function of the patient.
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