Smart Gait-Aid Glasses for Parkinson's Disease Patients
- Authors
- Ahn, DaeHan; Chung, Hyerim; Lee, Ho-Won; Kang, Kyunghun; Ko, Pan-Woo; Kim, Nam Sung; Park, 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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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles
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