Visual feedback training of a movement assistance human-machine interface
Our objective is to train the user on machine-predictable movementsfor a dynamic rehabilitation task aimed at more effective device control
Visual Feedback for Rehabilitation and Movement Assistance Training
Visual feedback (VF) can be presented in a myriad of modes, depending on the timing, style of display, and performance metric objectively targeted. VF outperforms audio and haptic feedback for training user spatial positioning of complex motor-tasks . Our interests are in developing VF paradigms that effectively train the user to complete a dynamic rehabilitation task for more effective assist device control.
Visual Feedback Training for a Two-legged Squat Exercise
VF was presented in a variety of forms for training the subjects on a dynamic rehabilitation task. The objective was to determine the visual feedback mode with the greatest reduction in movement error over a single training session. The winning VF trained the greatest consistency of spatial positioning and muscle activation patterns.
Rectus Femoris Muscle Activation Influenced by Changes in Squat Technique
The two legged squat exercise is clinically correlated to the sit-to-stand movement. Muscle activation patterns are highly influenced by technique and are captured in real-time by surface electromyography sensors on lower-limb muscles primarily responsible for force generation. Training the user to do a complex rehabilitation task in a more consistent movement pattern will induce consistent muscle activation patterns.
Identification of User-Specific Optimal Parameters by Musculoskeletal Modeling
1. R. Sigrist, G. Rauter, R. Riener, and P. Wolf, “Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review,” Psychon. Bull. Rev., vol. 20, no. 1, pp. 21–53, Feb. 2013.