Upper Limb Robot Mediated Stroke Therapy—GENTLE/s Approach
Autonomous Robots
On compensating the Mel-frequency cepstral coefficients for noisy speech recognition
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Controlling a robot manipulator with fuzzy voice commands using a probabilistic neural network
Neural Computing and Applications
Intelligent Control for Robotic Rehabilitation after Stroke
Journal of Intelligent and Robotic Systems
Towards intelligent robot-assisted rehabilitation systems
International Journal of Systems Science
Human/robot interface for voice teleoperation of a robotic platform
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
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This paper presents a control architecture, which has the potential to monitor the task and safety issues, to provide assessment of the progress and alter the task parameters, and to incorporate patient's feedback in order to make the necessary modifications to impart effective therapy during the execution of the task in an automated manner. Experimental results are presented to demonstrate the efficacy of the proposed control architecture.