Kinect4FOG: monitoring and improving mobility in people with Parkinson's using a novel system incorporating the Microsoft Kinect v2.
Parkinson's is a neurodegenerative condition associated with several motor symptoms including tremors and slowness of movement. Freezing of gait (FOG); the sensation of one's feet being "glued" to the floor, is one of the most debilitating symptoms associated with advanced Parkinson's. FOG not only...
| Published in: | Disability & Rehabilitation: Assistive Technology Vol. 14; no. 6; pp. 566 - 574 |
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| Main Authors: | , , |
| Format: | pictorial questionnaire/scale research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Aug2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137584318&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137584318 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17483107 1X04 jtl: Disability & Rehabilitation: Assistive Technology issn: 17483107 maglogo: Y pubinfo: dt: Aug2019 vid: 14 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 137584318 137584318 137584318 10.1080/17483107.2018.1467975 137584318 ppf: 566 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Kinect4FOG: monitoring and improving mobility in people with Parkinson's using a novel system incorporating the Microsoft Kinect v2. aug: au: Amini, Amin Banitsas, Konstantinos Young, William R. affil: Department of Electronics and Computer Engineering, Brunel University London, London, UK sug: subj: Monitoring, Physiologic Quality Improvement Parkinson Disease Movement Mobile Applications Software Design Gait Disorders, Neurologic Cues Wearable Sensors Gait Analysis Equipment and Supplies Motor Activity Gait Accidental Falls Algorithms Graphical User Interface Male Female Middle Age Aged Aged, 80 and Over Focus Groups Physician-Patient Relations Communication Human Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Parkinson's is a neurodegenerative condition associated with several motor symptoms including tremors and slowness of movement. Freezing of gait (FOG); the sensation of one's feet being "glued" to the floor, is one of the most debilitating symptoms associated with advanced Parkinson's. FOG not only contributes to falls and related injuries, but also compromises quality of life as people often avoid engaging in functional daily activities both inside and outside the home. In the current study, we describe a novel system designed to detect FOG and falling in people with Parkinson's (PwP) as well as monitoring and improving their mobility using laser-based visual cues cast by an automated laser system. The system utilizes a RGB-D sensor based on Microsoft Kinect v2 and a laser casting system consisting of two servo motors and an Arduino microcontroller. This system was evaluated by 15 PwP with FOG. Here, we present details of the system along with a summary of feedback provided by PwP. Despite limitations regarding its outdoor use, feedback was very positive in terms of domestic usability and convenience, where 12/15 PwP showed interest in installing and using the system at their homes. Providing an automatic and remotely manageable monitoring system for PwP gait analysis and fall detection. Providing an automatic, unobtrusive and dynamic visual cue system for PwP based on laser line projection. Gathering feedback from PwP about the practical usage of the implemented system through focus group events. pubtype: Academic Journal doctype: pictorial questionnaire/scale research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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