TY - GEN
T1 - Voice Controlled Artificial Intelligent Smart Wheelchair
AU - Iskanderani, Ahmed I.
AU - Tamim, Foyzur Razzaque
AU - Rana, Md Masud
AU - Ahmed, Wasif
AU - Mehedi, Ibrahim M.
AU - Aljohani, Abdulah Jeza
AU - Latif, Abdul
AU - Shaikh, Shaikh Abdul Latif
AU - Shorfuzzaman, Mohammad
AU - Akther, Farzana
AU - Palaniswamy, Thangam
AU - Vellingiri, Mahendiran T.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair's movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.
AB - An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair's movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.
KW - Android App Interface
KW - Arduino
KW - HC-05 Bluetooth Module
KW - Voice Controlled Wheelchair
KW - Voice Recognition
KW - Wireless Control
UR - http://www.scopus.com/inward/record.url?scp=85124150756&partnerID=8YFLogxK
U2 - 10.1109/ICIAS49414.2021.9642607
DO - 10.1109/ICIAS49414.2021.9642607
M3 - Conference Proceeding
AN - SCOPUS:85124150756
T3 - International Conference on Intelligent and Advanced Systems: Enhance the Present for a Sustainable Future, ICIAS 2021
BT - International Conference on Intelligent and Advanced Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Intelligent and Advanced Systems, ICIAS 2021
Y2 - 13 July 2021 through 15 July 2021
ER -