• 一种基于柔性压阻传感的高贴合手指动作检测与控制系统

    A highly conformable finger motion detection and control system based on flexible piezoresistive sensor

    • 随着柔性电子与人机交互技术的快速发展,具备高贴合性、低延迟与高灵敏度的柔性压阻传感系统在可穿戴动作监测及智能控制领域受到广泛关注。本文设计并实现了一种基于柔性压阻传感的手指动作检测与控制系统,用于实现人手与机械手之间的同步动作控制。该系统采用高柔性、可拉伸的压阻传感单元,贴附于手指关节处,通过感知手指弯曲引起的电阻变化,实现对单指及多指动作的实时检测。在系统实现方面,基于STM32微控制器构建了多通道信号采集与嵌入式处理平台,并结合规则化的多状态映射方法,完成手指动作与机械手驱动指令之间的实时映射,从而实现低延迟、稳定的人机动作同步控制。实验结果表明,该系统在0°至90°手指弯曲范围内具有良好的响应一致性与可重复性,通道间串扰低于1%。在多指组合手势识别实验中,系统对9种典型手势的平均识别准确率达到96.8%。此外,单指动作的响应时间中位数为80 ms,表明该系统能够满足低延迟人机交互控制的实时性需求。

       

      Abstract: With the rapid development of flexible electronics and human-machine interaction technologies, flexible piezoresistive sensing systems featuring high conformability, low latency, and high sensitivity have attracted increasing attention in wearable motion monitoring and intelligent control applications. In this work, a flexible piezoresistive finger motion detection and control system is designed and implemented to achieve synchronous motion control between the human hand and a robotic hand. The system employs highly flexible and stretchable piezoresistive sensing units attached to finger joints, enabling real-time detection of both single-finger and multi-finger motions by sensing resistance variations induced by finger bending. From a system implementation perspective, a multi-channel signal acquisition and embedded processing platform is developed based on an STM32 microcontroller. A rule-based multi-state mapping method is further adopted to realize real-time mapping between detected finger motions and robotic hand driving commands, thereby enabling low-latency and stable human–machine motion synchronization. Experimental results demonstrate that the proposed system exhibits good response consistency and repeatability over a finger bending range of 0–90°, with inter-channel crosstalk below 1%. In multi-finger gesture recognition experiments, the system achieves an average recognition accuracy of 96.8% for nine representative gestures. In addition, the median response time for single-finger motion is 80ms, satisfying the real-time requirements of low-latency human–machine interactive control.

       

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