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Smart Gait-Aid Glasses for Parkinson's Disease Patients

Authors
Ahn, DaeHanChung, HyerimLee, Ho-WonKang, KyunghunKo, Pan-WooKim, Nam SungPark, Taejoon
Issue Date
Oct-2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Wearable gait-aid glasses; wearable computing; Parkinson' s disease; inertial sensors; augmented reality
Citation
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.64, no.10, pp.2394 - 2402
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume
64
Number
10
Start Page
2394
End Page
2402
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/8938
DOI
10.1109/TBME.2017.2655344
ISSN
0018-9294
Abstract
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 similar to 37.2% and 18.7 similar to 31.7%, respectively.
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Park, Tae joon
ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)
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