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首页> 外文会议>Meeting of the Electrochemical Society;International Meeting on Chemical Sensors >Smart Wheelchair Controls System Using Intelligent Algorithm and Biosensor Signal
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Smart Wheelchair Controls System Using Intelligent Algorithm and Biosensor Signal

机译：智能轮椅控制系统使用智能算法和生物传感器信号

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Quadriplegia caused by spinal cord injury can occur in people of any age range and can be caused by any etiology (traumatic or no traumatic) and directly affects both motor and sensory neurological functions. The aim of this research project is developing a control device for an electric wheelchair for mobility of people with spinal cord injury) in closed or controlled environments, with quadriplegia (very limited mobility or complete immobility of upper and lower limbs. Specifically, the system takes the head position data (head tracking) of the user supplied by a webcam and through an application developed on a Raspberry PI3 single board computer finally, the system generates the movement of the wheelchair depending on the position and movement of the user's head through an electromechanical system with servomotors using intelligent algorithm. The system was tested on 10 immobilized people with upper and lower limbs obtaining a learning response between 1 and 5 minutes, the device is fully portable and adaptable to any electric wheelchair with joystick control. The developed device worked successfully and was compared with other head control devices for electric wheelchairs in the current market, it is, economical and versatile non-invasive system as a solution for mobility autonomy for people with quadriplegia.
机译：由脊髓损伤引起的四肢瘫痪可能发生在任何年龄范围的人中，并且可以由任何病因（创伤或创伤或创伤性）引起，并直接影响电动机和感官神经功能。该研究项目的目的正在开发用于电动轮椅的控制装置，用于闭孔或受控环境中有脊髓损伤的人们的移动性，具有四肢瘫痪（非常有限的迁移率或上肢的迁移性或完全不动。具体而言，系统采取由网络摄像头提供的用户的头部位置数据（头部跟踪）以及通过覆盆子PI3单板计算机上开发的应用，系统根据用户头通过机电的位置和移动产生轮椅的运动使用智能算法的伺服电动机系统。该系统在10个固定的人中测试了1和下肢的5分钟，该装置在1到5分钟之间获得学习响应，该装置完全便携，适用于任何带操纵杆控制的电动轮椅。开发的设备成功工作并与当前电动轮椅的其他头控制装置进行比较市场，经济型和多功能的无侵入性系统，作为具有四肢瘫痪的人的流动性自治的解决方案。

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