TY - JOUR
T1 - A wearable real-time intelligent posture corrective system using vibrotactile feedback
AU - Gopalai, Alpha Agape
AU - Arosha Senanayake, S. M.N.Arosha
N1 - Funding Information:
Manuscript received November 1, 2010; revised March 15, 2011; accepted June 1, 2011. Date of publication August 1, 2011; date of current version August 30, 2011. Recommended by Guest Editor A. Mihailidis. This work was supported in part by Monash University Sunway Campus, in part by the Ministry of Science, Technology and Innovation, Malaysia, under Grant 0302-10-SF0028 with the title “Bio-Inspired Robotics Devices for Sportsman Screening Services (BIRDSSS),” and in part by Moves International Fitness, Mammoth Lakes, CA.
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/10
Y1 - 2011/10
N2 - Biofeedback is known to improve postural control and shorten rehabilitation periods among the young and elderly. A biofeedback system communicates with the human central nervous system through a variety of feedback modalities. Vibrotactile feedback devices are gaining attention due to their desirable characteristics and simplistic manner of presenting biofeedback. In this study, we investigate the potential of incorporating a real-time biofeedback system with artificial intelligence for wobble board training, aimed at improving ankle proprioception. The designed system utilizes vibrotactile actuators to provide forewarning for poor postural control. The biofeedback system depended on Euler angular measurements of trunk and wobble board displacements, from inertial measurement units (IMUs). A fuzzy inference system was used to determine the quality of postural control, based on IMU-acquired measurements of trunk and wobble board. The designed system integrates: 1) two IMUs, 2) a fuzzy knowledge base, and 3) a feedback-generation module. Tests were conducted in eyes-open and eyes-close conditions while standing on the wobble board to assess viability of the system in providing accurate real-time intervention. The results observed an improvement in postural control with biofeedback intervention, demonstrating successfulness of the prototype built for improving postural control in rehabilitative and preventive applications.
AB - Biofeedback is known to improve postural control and shorten rehabilitation periods among the young and elderly. A biofeedback system communicates with the human central nervous system through a variety of feedback modalities. Vibrotactile feedback devices are gaining attention due to their desirable characteristics and simplistic manner of presenting biofeedback. In this study, we investigate the potential of incorporating a real-time biofeedback system with artificial intelligence for wobble board training, aimed at improving ankle proprioception. The designed system utilizes vibrotactile actuators to provide forewarning for poor postural control. The biofeedback system depended on Euler angular measurements of trunk and wobble board displacements, from inertial measurement units (IMUs). A fuzzy inference system was used to determine the quality of postural control, based on IMU-acquired measurements of trunk and wobble board. The designed system integrates: 1) two IMUs, 2) a fuzzy knowledge base, and 3) a feedback-generation module. Tests were conducted in eyes-open and eyes-close conditions while standing on the wobble board to assess viability of the system in providing accurate real-time intervention. The results observed an improvement in postural control with biofeedback intervention, demonstrating successfulness of the prototype built for improving postural control in rehabilitative and preventive applications.
KW - Biofeedback
KW - postural control
KW - rehabilitation
KW - wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=80052343536&partnerID=8YFLogxK
U2 - 10.1109/TMECH.2011.2161486
DO - 10.1109/TMECH.2011.2161486
M3 - Article
AN - SCOPUS:80052343536
SN - 1083-4435
VL - 16
SP - 827
EP - 834
JO - IEEE/ASME Transactions on Mechatronics
JF - IEEE/ASME Transactions on Mechatronics
IS - 5
M1 - 5967916
ER -