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Proceedings Paper

Rehabilitation and motor learning through vibrotactile feedback
Author(s): Roshan Panchanathan; Jacob Rosenthal; Troy McDaniel
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Paper Abstract

Group instruction is the most common delivery method of motor skill training given its cost and time effectiveness. This is also the case during rehabilitation where therapists divide their attention among several patients. Compared to dedicated one-on-one instruction, group instruction often suffers from reduced quality and quantity of instruction and feedback. Further, during rehabilitation programs, patients struggle outside of therapy sessions given the lack of instruction and feedback found only during clinic visits. We propose a wearable, low-cost motion sensing and actuation system capable of providing real-time vibrotactile feedback for trainer-defined goal movements and repetitions. The trainer inputs movement goals for the user, and adapts these values (joint angles, movement speeds) over time for continued progress. In this paper, we present a novel second generation design, and introduce a flexible vibrotactile strip to overcome construction challenges of these types of systems. The flexible display is constructed using commercial LED strips that have been modified by attaching pancake style vibration motors. The flexible display does not require external microcontrollers to enable or disable motors, and may allow these systems to be expanded to the whole body. We also summarize two previous studies that have assessed appropriate body sites and pattern designs for vibrotactile motor instructions and feedback signals.

Paper Details

Date Published: 22 May 2014
PDF: 6 pages
Proc. SPIE 9107, Smart Biomedical and Physiological Sensor Technology XI, 910717 (22 May 2014); doi: 10.1117/12.2050204
Show Author Affiliations
Roshan Panchanathan, Univ. of California, Berkeley (United States)
Arizona State Univ. (United States)
Jacob Rosenthal, HeatSync Labs. (United States)
Troy McDaniel, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 9107:
Smart Biomedical and Physiological Sensor Technology XI
Brian M. Cullum; Eric S. McLamore, Editor(s)

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