TY - JOUR
AU - 
AB - Sound & Vibration Tech Science Press DOI:10.32604/sv.2020.08665 1 2 ,* Lamia Bouafif and Noureddine Ellouze National Institute of Biomedical Studies of Tunis, 1092, Tunis, Tunisia Image and Signal Processing Laboratory, ENIT BP 37, University of Tunis El Manar, 1064, Tunisia *Corresponding Author: Noureddine Ellouze. Email: b2lamia@yahoo.fr Received: 22 September 2019; Accepted: 26 December 2019 Abstract: In order to assist physically handicapped persons in their movements, we developed an embedded isolated word speech recognition system (ASR) applied to voice control of smart wheelchairs. However, in spite of the existence in the industrial market of several kinds of electric wheelchairs, the problem remains the need to manually control this device by hand via joystick; which lim- its their use especially by people with severe disabilities. Thus, a significant num- ber of disabled people cannot use a standard electric wheelchair or drive it with difficulty. The proposed solution is to use the voice to control and drive the wheel- chair instead of classical joysticks. The intelligent chair is equipped with an obsta- cle detection system consisting of ultrasonic sensors, a moving navigation algorithm and a speech acquisition and recognition module for voice control embedded in a DSP card. The ASR architecture consists 
TI - Implementation of a Biometric Interface in Voice Controlled Wheelchairs
JF - Sound&Vibration
DO - 10.32604/sv.2020.08665
DA - 2020-01-01
UR - https://www.deepdyve.com/lp/unpaywall/implementation-of-a-biometric-interface-in-voice-controlled-Yf6dn3mzoT
DP - DeepDyve
ER -