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KINECT applications for the physical rehabilitation

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TLDR
Aoyama Gakuin and Kitasato universities collaborated on this project, which is supported by SCOPE as mentioned in this paper, and presented the results of KINECT applications used in physical rehabilitation tests.
Abstract
This report presents the results of KINECT applications used in physical rehabilitation tests. Aoyama Gakuin and Kitasato universities collaborated on this project, which is supported by SCOPE. The applications, following standard tests, are for the timed “Up & Go Test”, the timed “10-Meter Walk Test” and for a Joint “Range of Motion” Measurement”; test results are given. The implementation, evaluation and advantages of a proposed “Real-time ROM Measurement” are also given. The proposed KINECT application will be useful for enhancement of KINECT technical capabilities and for further advancements in medical care.

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Citations
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Journal ArticleDOI

Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments

TL;DR: Body point’s time series and gait parameters obtained with a multi-Kinect v2 set-up match well with those derived with a gold standard in 3D measurement accuracy, thereby complementing the time to walk 10 meters with reliable spatiotemporal gait parameter obtained objectively in a quick, unobtrusive and patient-friendly manner.
Journal ArticleDOI

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

TL;DR: An overview of the TUG test and technologies utilized for TUG instrumentation is provided and the gaps in the implementations are analyzed to discuss challenges for future research toward automated self-administered assessment in the home.
Journal ArticleDOI

The Present and Future of Robotic Technology in Rehabilitation

TL;DR: This review paper outlines the effort devoted to the development and integration of robotic technology for rehabilitation and suggests consumer-grade low-cost and off-the-shelf devices have been adopted for use in therapy sessions and methods for increasing motivation and engagement have been integrated with them.
Journal ArticleDOI

Automatic Timed Up-and-Go Sub-Task Segmentation for Parkinson’s Disease Patients Using Video-Based Activity Classification

TL;DR: An automatic TUG sub-task segmentation method using video-based activity classification and a long short-term memory network is proposed and validated in a study with 24 Parkinson’s disease patients, leading to the possibility of remote monitoring of the patients’ condition.
Journal ArticleDOI

Measurements and sensors for motion tracking in motor rehabilitation

TL;DR: The measurement methods presented are marker-based motion capture and analysis systems, marker-less motion Capture and Analysis systems, robot-based and exoskeleton systems, vision systems and virtual reality, and personal motion measurement systems based on sensor networks.
References
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Journal ArticleDOI

Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments

TL;DR: Body point’s time series and gait parameters obtained with a multi-Kinect v2 set-up match well with those derived with a gold standard in 3D measurement accuracy, thereby complementing the time to walk 10 meters with reliable spatiotemporal gait parameter obtained objectively in a quick, unobtrusive and patient-friendly manner.
Journal ArticleDOI

Toward Automating Clinical Assessments: A Survey of the Timed Up and Go

TL;DR: An overview of the TUG test and technologies utilized for TUG instrumentation is provided and the gaps in the implementations are analyzed to discuss challenges for future research toward automated self-administered assessment in the home.
Journal ArticleDOI

The Present and Future of Robotic Technology in Rehabilitation

TL;DR: This review paper outlines the effort devoted to the development and integration of robotic technology for rehabilitation and suggests consumer-grade low-cost and off-the-shelf devices have been adopted for use in therapy sessions and methods for increasing motivation and engagement have been integrated with them.
Journal ArticleDOI

Automatic Timed Up-and-Go Sub-Task Segmentation for Parkinson’s Disease Patients Using Video-Based Activity Classification

TL;DR: An automatic TUG sub-task segmentation method using video-based activity classification and a long short-term memory network is proposed and validated in a study with 24 Parkinson’s disease patients, leading to the possibility of remote monitoring of the patients’ condition.
Journal ArticleDOI

Measurements and sensors for motion tracking in motor rehabilitation

TL;DR: The measurement methods presented are marker-based motion capture and analysis systems, marker-less motion Capture and Analysis systems, robot-based and exoskeleton systems, vision systems and virtual reality, and personal motion measurement systems based on sensor networks.
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