Control System of Powered Wheelchairs Based on Tongue Motion Detection

Control System of Powered Wheelchairs Based on Tongue Motion Detection

Liao Lu, Ping Yi Deng, Ying Wu, Jie Jun Bai, Yun Xiao Zhang, Yi Xiang, Liang Jin Shi, Rusen Yang
DOI: 10.4018/IJSSCI.2016100104
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Article Preview
Top

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

IJSSCI.2016100104.f01

Complete Article List

Search this Journal:
Reset
Volume 16: 1 Issue (2024)
Volume 15: 1 Issue (2023)
Volume 14: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 13: 4 Issues (2021)
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing