TY - JOUR
T1 - Smart Gait-Aid Glasses for Parkinson's Disease Patients
AU - Ahn, Daehan
AU - Chung, Hyerim
AU - Lee, Ho Won
AU - Kang, Kyunghun
AU - Ko, Pan Woo
AU - Kim, Nam Sung
AU - Park, Taejoon
N1 - Funding Information:
Manuscript received July 14, 2016; revised November 24, 2016; accepted January 8, 2017. Date of publication January 19, 2017; date of current version September 18, 2017. This work was supported by the research fund of Hanyang University (HY-2015-G). Asterisk indicates corresponding author. D. H. Ahn and H. Chung are with the Department of Information and Communication Engineering, Daegu Gyeoungbuk Institute of Science and Technology. H.-W. Lee, K. Kang, and P.-W. Ko are with the Brain Science and Engineering Institute, Kyungpook National University. N. S. Kim is with the Department of Electical and Computer Engineering, University of Illinois. ∗T. Park is with the Department of Robotics Engineering, Hanyang University, Ansan 426-791, South Korea (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TBME.2017.2655344
Publisher Copyright:
© 2017 IEEE.
PY - 2017/10
Y1 - 2017/10
N2 - Parkinson's disease (PD) is a chronic progressive disease caused by loss of dopaminergic neurons in the substantia nigra, degenerating the nervous system of a patient over time. Freezing of gait (FOG), which is a form of akinesia, is a symptom of PD. Meanwhile, recent studies show that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or auditory patterns for the patients. In this paper, we propose a gait-Aid system built upon smart glasses. Our system continuously monitors the gait and so on of a PD patient to detect FOG, and upon detection of FOG it projects visual patterns on the glasses as if the patterns were actually on the floor. Conducting experiments involving ten PD patients, we demonstrate that our system achieves the accuracy of 92.86\% in detecting FOG episodes and that it improves the gait speed and stride length of PD patients by 15.3 \sim 37.2% and 18.7 \sim 31.7%, respectively.
AB - Parkinson's disease (PD) is a chronic progressive disease caused by loss of dopaminergic neurons in the substantia nigra, degenerating the nervous system of a patient over time. Freezing of gait (FOG), which is a form of akinesia, is a symptom of PD. Meanwhile, recent studies show that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or auditory patterns for the patients. In this paper, we propose a gait-Aid system built upon smart glasses. Our system continuously monitors the gait and so on of a PD patient to detect FOG, and upon detection of FOG it projects visual patterns on the glasses as if the patterns were actually on the floor. Conducting experiments involving ten PD patients, we demonstrate that our system achieves the accuracy of 92.86\% in detecting FOG episodes and that it improves the gait speed and stride length of PD patients by 15.3 \sim 37.2% and 18.7 \sim 31.7%, respectively.
KW - Parkinson's disease
KW - Wearable gait-Aid glasses
KW - augmented reality
KW - inertial sensors
KW - wearable computing
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U2 - 10.1109/TBME.2017.2655344
DO - 10.1109/TBME.2017.2655344
M3 - Article
C2 - 28113199
AN - SCOPUS:85020750963
SN - 0018-9294
VL - 64
SP - 2394
EP - 2402
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 10
M1 - 7827083
ER -