摘要
为了解决目前一些手部存在障碍的使用者无法实现自主操纵轮椅的问题,研究了一种由软、硬件相结合的视觉追踪轮椅行进控制系统。使用者头戴视觉追踪装置坐在由单片机最小系统、蓝牙模块、霍尔传感器模块组成的电动轮椅上,通过图像采集分割、瞳孔轮廓检测、瞳孔标定、容差判定等方法确定使用者眼球的位置,进而控制电动轮椅向前走、向后走、向左转、向右转和停止5个行为状态。通过实验测试,该系统操作简单、方便且灵敏度高。该系统较传统轮椅而言,适用人群更加广泛,使得一些手部无法自理的使用者能够直接通过眼睛的转动控制轮椅的行进,间接提高了他们的生活质量。
In order to solve the problem that some users with hand disorders can not operate wheelchair independently,this paper studies a visual tracking wheelchair travel control system that combines software and hardware.By wearing a visual tracking device on his head,the user wearing a visual tracking device on the head sits on an electric wheelchair that is composed of the smallest system of single chip microcomputer,bluetooth module and Hall sensor module.The position of the user's eyeball is determined by image acquisition and segmentation,pupil contour detection,pupil calibration,tolerance determination and other methods.Then the electric wheelchair can be controlled by five behavior states:to move forward and backward,to the left and right,and stop.The experimental results show that the system is simple,convenient and sensitive.Compared with the traditional wheelchair,the system is more widely applicable to people,which enables some users who can not take care of themselves to control the wheelchair's movement directly through the rotation of their eyes,and indirectly improves their quality of life.
作者
吴佳宝
陈万忠
马迪
蒋贵虎
WU Jiabao;CHEN Wanzhong;MA Di;JIANG Guihu(School of Communication Engineering,Jilin University,Changchun 130025,China)
出处
《应用科技》
CAS
2019年第3期76-79,共4页
Applied Science and Technology
基金
吉林省产业技术研究与开发项目(2016C025)
吉林大学博士研究生创新项目(2016092)
关键词
视觉追踪
瞳孔轮廓检测
图像分割
容差判定
轮椅行进控制
霍尔传感器
蓝牙通信
单片机
visual tracking
pupil contour detection
image segmentation
tolerance determination
wheelchair travel control
Hall sensor
bluetooth communication
single chip microcomputer
