DocumentCode
31505
Title
Effects of Vibrotactile Feedback on Human Learning of Arm Motions
Author
Bark, Karlin ; Hyman, Emily ; Tan, F. ; Cha, Elizabeth ; Jax, Steven A. ; Buxbaum, Laurel J. ; Kuchenbecker, Katherine J.
Author_Institution
Dept. of Mech. Eng. & Appl. Mech., Univ. of Pennsylvania, Philadelphia, PA, USA
Volume
23
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
51
Lastpage
63
Abstract
Tactile cues generated from lightweight, wearable actuators can help users learn new motions by providing immediate feedback on when and how to correct their movements. We present a vibrotactile motion guidance system that measures arm motions and provides vibration feedback when the user deviates from a desired trajectory. A study was conducted to test the effects of vibrotactile guidance on a subject´s ability to learn arm motions. Twenty-six subjects learned motions of varying difficulty with both visual (V), and visual and vibrotactile (VVT) feedback over the course of four days of training. After four days of rest, subjects returned to perform the motions from memory with no feedback. We found that augmenting visual feedback with vibrotactile feedback helped subjects reduce the root mean square (rms) angle error of their limb significantly while they were learning the motions, particularly for 1DOF motions. Analysis of the retention data showed no significant difference in rms angle errors between feedback conditions.
Keywords
biomechanics; biomedical education; biomedical equipment; haptic interfaces; mean square error methods; medical computing; training; vibrations; 1DOF motions; arm motions; feedback conditions; human learning; retention data analysis; rms angle errors; root mean square angle error; training; vibrotactile feedback effects; vibrotactile guidance effects; vibrotactile motion guidance system; visual feedback; wearable actuators; Actuators; Haptic interfaces; Joints; Tracking; Trajectory; Vibrations; Visualization; Haptic interfaces; motion guidance; rehabilitation robotics; user interfaces; vibration;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2014.2327229
Filename
6824249
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