Kinect4FOG: monitoring and improving mobility in people with Parkinson's using a novel system incorporating the Microsoft Kinect v2

被引:20
作者
Amini, Amin [1 ]
Banitsas, Konstantinos [1 ]
Young, William R. [2 ]
机构
[1] Brunel Univ London, Dept Elect & Comp Engn, London, England
[2] Brunel Univ London, Dept Clin Sci, London, England
关键词
Fog; fall detection; visual cues; Kinect v2; STRIDE LENGTH; AUDITORY CUES; GAIT; DISEASE; DEVICE;
D O I
10.1080/17483107.2018.1467975
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
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.
引用
收藏
页码:566 / 573
页数:8
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