A Droplet‐Solid‐Mode Triboelectric Foot Sensor Array for Monitoring Rehabilitation Training

Gait tracking plays a crucial role in postoperative rehabilitation training by facilitating the assessment of recovery progress and ensuring timely interventions to improve outcomes. Herein, a flexible and wearable droplet‐solid‐mode triboelectric foot sensor (DTFS) array is reported for monitoring rehabilitation training. The conventional solid–solid contact interface is replaced with a solid–liquid interface, avoiding material wear and degradation of sensor output. Additionally, three interconnected DTFS cells are integrally molded using 3D printing technology. Results demonstrate that the DTFS's output voltage amplitude varies with applied frequency and acceleration, providing reliable and stable responses to external stimuli. When attached to the heel of an insole, the DTFS array, with its compact design and array configuration, produces distinct electrical signals under different gaits with enhanced data collection efficiency. Using artificial intelligence algorithms for data analysis, the system enables real‐time automated gait monitoring with a high recognition accuracy exceeding 96%. This innovative solution holds promise for continuous gait monitoring and tracking, supports doctors’ decision‐making with data‐driven insights, and paves the way for patients’ home healthcare through integration with wireless data transmission systems in the near future.