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基于坐姿传感及自主避障的轮椅控制系统

Wheelchair Control System Based on Sitting Posture Sensing and Autonomous Obstacle Avoidance

  • 摘要: 为提高轮椅的安全性和舒适性,设计一种智能轮椅控制系统,基于使用者驾驶行为习惯(坐姿)辅助控制轮椅,同时监测周围环境信息进行自主避障。通过合理布局单点式压力传感器,利用支持向量机(support vector machine,SVM)实现坐姿识别;通过融合激光雷达与超声波传感器监测周围环境;最终以坐姿类别、环境类别、障碍物距离为输入,轮椅速度与转角为输出,设计三维模糊控制器,实现轮椅自主避障。经实验验证,该系统识别准确率高、避障控制稳定性好,可为用户提供一种安全、舒适、智能的轮椅控制方案。

     

    Abstract: To improve the wheelchair's safety and comfort, an intelligent wheelchair control system was designed, which can not only control wheelchair with the help of users'behavior habit, for example, users'sitting postures, but can also autonomously avoid obstacles according to the information of surrounding environment. By giving out the layout of the single-point-pressure-sensor, the support vector machine (SVM) was used to obtain sitting posture recognition, then the surrounding environment was monitored by fusing the information of lidar and the ultrasonic sensor. Finally, a three-dimensional fuzzy controller was designed to achieve wheelchair autonomous obstacle avoidance by inputting environment categories, sitting posture categoriesand obstacle distance, and outputting wheelchair speeds and rotation angles. Experiments show that the system has high recognition accuracy and stable obstacle avoidance control, and can provide a safe, comfortable and intelligent wheelchair control scheme for users.

     

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