Journal
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Volume 23, Issue 1, Pages 51-63Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSRE.2014.2327229
Keywords
Haptic interfaces; motion guidance; rehabilitation robotics; user interfaces; vibration
Categories
Funding
- Pennsylvania Department of Health (via Heath Research Formula Funds)
- National Science Foundation [IIS-0915560]
- National Science Foundation (via an REU supplement)
- University of Pennsylvania
- L'Oreal For Women in Science Postdoctoral Fellowship
- American Association for the Advancement of Science
- Art and Deborah Rachleff
- Moss Rehabilitation Research Institute
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [0915560] Funding Source: National Science Foundation
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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.
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