Paper Info
Title
Effects of attractive versus repulsive vibrotactile instructional cues during motion replication tasks.
Abstract
The Mobile Instrument for Motion Instruction and Correction (MIMIC) enables an expert (i.e., physical therapist) to map his/her movements to a trainee (i.e., patient) in a hands-free fashion. MIMIC comprises an Expert Module (EM) and a Trainee Module (TM); both modules include six-degree-of-freedom inertial measurement units, microcontrollers, and batteries. The TM also includes actuators that provide the trainee with vibrotactile instructional cues. The estimated expert body motion information is transmitted wirelessly to the trainee; based on the computed difference between the motions of the expert and trainee, directional instructions are displayed to the trainee's skin via vibrotactile stimulation. This study examined anterior-posterior trunk movements using a simplified version of the MIMIC system in which only two actuators were used to provide feedback and pre-recorded target trajectories were used to represent ideal expert movements. The study was designed to investigate the effects of attractive versus repulsive vibrotactile instructional cues when the motion speed and task complexity were varied. Preliminary results (n = 12) suggest that repulsive vibrotactile instructional cues lead to the greatest correlation between expert and subject motion, the least time delay, and the least tilt error.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6090587
EMBC
Keywords
Field
DocType
microcontrollers,anterior-posterior trunk movements,biomechanics,time delay,movement mapping,medical control systems,task complexity,mimic,tilt error,expert body motion information,inertial measurement,delays,directional instructions,batteries,feedback,motion instruction,patient rehabilitation,repulsive vibrotactile instructional cues,mobile instrument,actuators,haptic interfaces,attractive vibrotactile instructional cues,motion replication tasks,skin,motion speed,motion correction,expert module,trainee module,degree of freedom,inertial measurement unit,vibrations,protocols,testing
Inertial frame of reference,Computer vision,Physical therapist,Computer science,Artificial intelligence,Microcontroller,Actuator
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
2
0.39
4
Authors
2
Name
Order
Citations
PageRank
Beom-Chan Lee1238.63
Kathleen H. Sienko252.62