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Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition

Faculty of Engineering & Technology, Philadelphia University, Amman 19392, Jordan
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Sensors 2020, 20(10), 2872; https://doi.org/10.3390/s20102872
Received: 4 March 2020 / Revised: 9 April 2020 / Accepted: 3 May 2020 / Published: 19 May 2020
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility. View Full-Text
Keywords: wheelchair control; voice recognition; autonomous wheelchair; ANFIS; V-REP; mechatronics wheelchair control; voice recognition; autonomous wheelchair; ANFIS; V-REP; mechatronics
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MDPI and ACS Style

Abdulghani, M.M.; Al-Aubidy, K.M.; Ali, M.M.; Hamarsheh, Q.J. Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition. Sensors 2020, 20, 2872.

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