A multi-controlled semi-autonomous wheelchair for old and physically challenged people

Alam, Md. Eftekhar; Kader, Mohammed Abdul; Hany, Umme; Arjuman, Rumana; Siddika, Aisha; Islam, Md. Zakaria

doi:10.1109/icasert.2019.8934663

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…Craig and Nguyen (2006) presented the first head motion movement system that uses a telemetric head motion tool to control a powered wheelchair. Alam et al (2019;Noman et al, 2018) proposed the development of electrical wheelchair that detects the gesture of hands and finger motion using a mobile phone and microcontroller. The microcontroller uses touch sensor and smartphone gesture function to control an electric wheelchair.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Wheelchair Design and Operation Using Multi-Function Controller

Al-Nabulsi¹

2020

Journal of Computer Science

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An electric multi-function controlled wheelchair is designed and fully tested. This wheelchair is controlled by several physiological variables namely; voice, head movement, finger bending, breathing pressure and Electrooculography (EOG). The patient has the choice to use any of these variables to control the wheelchair. The voice command is recorded by a voice recognition module with its microphone, whereas, the head and finger motion operate through the gyro accelerometer and flex sensors. A pressure sensor is used to determine the force of breathing and EOG signals are used to control the wheelchair movement. All of the inputs are processed using a microcontroller. Testing of the wheel chair using the mentioned variables is carried out successfully with accuracy between 88 to 96% for various control modules and safety consideration as a primary goal.

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Section: Introductionmentioning

confidence: 99%