Application of Novel Graphite Flex Sensors in Closed-Loop Angle Feedback on a Soft Robotic Glove for Stroke Rehabilitation

Conclusions This work has presented a novel integration and implementation of graphite-based flex sensors with a soft robotic glove for stroke rehabilitation. The relationship between the signal voltage and the MCP joint angle varies greatly with anatomical differences between each individual, and with sensor placement. However, based on the experimental results, a linear mapping calibration algorithm for the graphite-based flex sensors was implemented, which also complements its robustness for the potential application on stroke rehabilitation. The effectiveness of the calibration algorithm is also thus demonstrated via the Intent Recognition and Fixed Angle Assist control algorithms.
Source: JPO Journal of Prosthetics and Orthotics - Category: Orthopaedics Tags: ORIGINAL RESEARCH ARTICLES Source Type: research