Literature DB >> 29790385

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

Amin Amini1, Konstantinos Banitsas1, William R Young2.   

Abstract

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. Implications for Rehabilitation 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.

Entities:  

Keywords:  Fog; Kinect v2; fall detection; visual cues

Mesh:

Year:  2018        PMID: 29790385     DOI: 10.1080/17483107.2018.1467975

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  6 in total

1.  Using Kinect v2 to Control a Laser Visual Cue System to Improve the Mobility during Freezing of Gait in Parkinson's Disease.

Authors:  Amin Amini; Konstantinos Banitsas
Journal:  J Healthc Eng       Date:  2019-02-20       Impact factor: 2.682

2.  Recent advances in rehabilitation for Parkinson's Disease with Exergames: A Systematic Review.

Authors:  Augusto Garcia-Agundez; Ann-Kristin Folkerts; Robert Konrad; Polona Caserman; Thomas Tregel; Mareike Goosses; Stefan Göbel; Elke Kalbe
Journal:  J Neuroeng Rehabil       Date:  2019-01-29       Impact factor: 4.262

Review 3.  A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment.

Authors:  Anthony Bawa; Konstantinos Banitsas; Maysam Abbod
Journal:  J Healthc Eng       Date:  2021-11-01       Impact factor: 2.682

4.  Recognition of Freezing of Gait in Parkinson's Disease Based on Machine Vision.

Authors:  Wendan Li; Xiujun Chen; Jintao Zhang; Jianjun Lu; Chencheng Zhang; Hongmin Bai; Junchao Liang; Jiajia Wang; Hanqiang Du; Gaici Xue; Yun Ling; Kang Ren; Weishen Zou; Cheng Chen; Mengyan Li; Zhonglue Chen; Haiqiang Zou
Journal:  Front Aging Neurosci       Date:  2022-07-14       Impact factor: 5.702

5.  Ankle Push-Off Based Mathematical Model for Freezing of Gait in Parkinson's Disease.

Authors:  Midhun Parakkal Unni; Prathyush P Menon; Mark R Wilson; Krasimira Tsaneva-Atanasova
Journal:  Front Bioeng Biotechnol       Date:  2020-10-29

6.  Data-Driven Prediction of Freezing of Gait Events From Stepping Data.

Authors:  Midhun Parakkal Unni; Prathyush P Menon; Lorenzo Livi; Mark R Wilson; William R Young; Helen M Bronte-Stewart; Krasimira Tsaneva-Atanasova
Journal:  Front Med Technol       Date:  2020-11-20
  6 in total

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