Control System of Powered Wheelchairs Based on Tongue Motion Detection

Control System of Powered Wheelchairs Based on Tongue Motion Detection

Liao Lu (Chongqing University of Science and Technology, Chongqing, China), Ping Yi Deng (Chongqing University of Science and Technology, Chongqing, China), Ying Wu (Chongqing University of Science and Technology, Chongqing, China), Jie Jun Bai (Chongqing University of Science and Technology, Chongqing, China), Yun Xiao Zhang (Chongqing University of Science and Technology, Chongqing, China), Yi Xiang (Chongqing University of Science and Technology, Chongqing, China), Liang Jin Shi (Chongqing University of Science and Technology, Chongqing, China) and Rusen Yang (University of Minnesota, Minneapolis, MN, USA)
DOI: 10.4018/IJSSCI.2016100104
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Abstract

A new intelligent powered wheelchair is urgently needed for the individuals with tetraplegia and similar impairments who are unable to use the standard joystick. Based on the tongue motion detection, a new control system is introduced in this paper which is helpful for users to operate powered wheelchair efficiently and easily. This article introduces two control modes, including tongue motion control mode and infrared control mode. Wherein the infrared control mode mainly use the infrared controller. The tongue motion can be detected with several vibration film sheets that were embedded in the headset and a standard analog signal can be generated with embedded controller to control the wheelchair. The tongue motion drive system integrated into headset was developed and the control of the wheelchair has been tested moving along the designed route. Preliminary results show that the system is simple and convenient to control powered wheelchair with low cost, which has potential application in intelligent control domain.
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2. The Tongue Motion Control Mode

The control system is mainly composed of the tongue motion sensors and embedded controller, which is shown in following Figure 1. The sensors detect the state of the tongue motion in the mouth and then sensor data is transmitted to an external controller via wireless communication device and MCU (Zhang & Li, 2011). The controllers receive the sensor data and processes the information which received from the headset, and finally it generate square wave signal to operate the intelligent wheelchair.

Figure 1.

Overall structure

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