论文标题
具有成本效益的眼球运动型轮椅控制算法的截瘫患者
A cost effective eye movement tracker based wheel chair control algorithm for people with paraplegia
论文作者
论文摘要
脊髓损伤通常会导致四肢瘫痪的患者限制其活动能力。轮椅对于患者来说可能是一个很好的主张，但大多数人可以手动操作或借助操纵杆操作的电动机。但是，这需要使用手，使其不适合四肢瘫痪的患者。另一方面，控制眼动的人甚至由脑部受伤的人保留。监视眼睛中的运动可能是为轮椅生成控制信号的有用工具。本文是通过试图控制模仿轮椅的机器人来转换从眼睛转换为有意义的信号的一种方法。整个系统具有成本效益，并使用简单的图像处理和模式识别来控制机器人。开发了一种Android应用，在实际情况下，患者的援助可以使用该应用程序，以对轮椅进行更精致的控制。
Spinal cord injuries can often lead to quadriplegia in patients limiting their mobility. Wheelchairs could be a good proposition for patients, but most of them operate either manually or with the help of electric motors operated with a joystick. This, however, requires the use of hands, making it unsuitable for quadriplegic patients. Controlling eye movement, on the other hand, is retained even by people who undergo brain injury. Monitoring the movements in the eye can be a helpful tool in generating control signals for the wheelchair. This paper is an approach to converting obtained signals from the eye into meaningful signals by trying to control a bot that imitates a wheelchair. The overall system is cost-effective and uses simple image processing and pattern recognition to control the bot. An android application is developed, which could be used by the patients' aid for more refined control of the wheelchair in the actual scenario.
