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Smart gait-aid glasses for Parkinson's disease patients

Title
Smart gait-aid glasses for Parkinson's disease patients
Translated Title
파킨슨 병 환자의 보행보조를 위한 스마트 글래스 기반 어플리케이션
Authors
Chung, Hye Rim
DGIST Authors
Chung, Hye Rim; Hwang, Jae Youn; Kim, Min Soo; Park, Tae Joon
Advisor(s)
Hwang, Jae Youn; Kim, Min Soo
Co-Advisor(s)
Park, Tae Joon
Issue Date
2016
Degree Date
2016. 2
Type
Thesis
Access Rights
The original item will not be provided upon request from the author
Keywords
Parkinson's diseaseSmart glasseswearable computinginertial sensorsaugmented reality파킨슨 병스마트 글래스웨어러블 컴퓨팅관성 센서증강현실
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. PD symptoms can cause gait disturbance such as freezing of gait (FOG) for patients. Meanwhile, a recent study shows that the gait of PD patients experiencing FOG can be significantly improved by providing the regular visual or audible patterns for the patients. In this paper, we propose a gait-aid system built upon smart glasses. Our system continuously monitors the gait of a PD patient to detect FOG and, upon detection of FOG it projects effective visual patterns on the glasses as if the patterns were actually on the floor. We demonstrate that our system achieves the accuracy of 84.2% in detecting FOG episodes. Also, by conducting preliminary experiments involving three patients with PD (aged 72 with Hoehn and Yahr scale of 2.5, on average), we show that it improves the gait speed and stride length of PD patients by 24.1~32.1% and 24.0~45.3%, respectively. Moreover, our system is much safer than the existing systems where the visual patterns may block the wearer’s sight. ⓒ 2016 DGIST
Table Of Contents
I.INTRODUCTION 1-- II.RELATED WORKS 4-- 2.1 Existing FOG Detection Methods 4-- 2.2 Existing Gait-Aid System 5-- III.Methods 8-- 3.1 Movement Recognition 9-- 3.2 FOG Detection On Glasses 13-- 3.3 Generation of Visual Patterns 16-- IV.Experiments 18-- V.Results and Discussion 21-- 5.1 FOG Detection Performance 21-- 5.2 Gait-Aid Performance 23-- VI.Conclusions 25-- References 26
URI
http://dgist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002228738
http://hdl.handle.net/20.500.11750/1468
DOI
10.22677/thesis.2228738
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Related Researcher
Files:
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Collection:
Information and Communication EngineeringThesesMaster


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