Paper Info
Title
A Shoe Mounted System for Parkinsonian Gait Detection and Real-Time Feedback.
Abstract
Conditions like Parkinson's disease (PD) remain largely a mystery in the way that they affect individuals even under today's modern medical practices. One of the main secondary effects associated with PD can be seen in issues with the individual's gait and is referred to as Freezing of Gait (FoG). The symptom often responds poorly and sometimes paradoxically to treatment with dopaminergic medication that is traditionally used to treat the other symptoms of PD. However, a linkage found that FoG, during walking, results when the sequence effect is superimposed on a reduced step length. Prior research has focused on the development of technologies that use audio or visual feedback to help the individual adjust their gait. These systems may not be deployable in real-world environments since people rely on sight and sound for navigation. This research proposes the development of a system to measure step length in real-time and to provide haptic feedback to offset the progression of FoG episodes.
Year
DOI
Venue
2015
10.1007/978-3-319-21380-4_90
Communications in Computer and Information Science
Keywords
Field
DocType
Adaptive interfaces,Anticipatory interfaces,Mobile HCI,Context-dependent system
Gait,Computer science,Sight,Human–computer interaction,Parkinsonian gait,Haptic technology,Offset (computer science)
Conference
Volume
ISSN
Citations 
528
1865-0929
1
PageRank 
References 
Authors
0.36
1
6
Name
Order
Citations
PageRank
Arash Tadayon171.85
Jonathan Zia210.36
Lekha Anantuni310.36
Troy L. McDaniel410124.56
Narayanan Krishnamurthi522.06
Sethuraman Panchanathan61431152.04