A Wearable Inertial Sensor System for Human Motion Analysis

Background: Several factors, including the aging population and the recent corona pandemic, have increased the need for cost effective, easy-to-use and reliable telerehabilitation services. Computer vision-based marker-less human pose estimation is a promising variant of telerehabilitation and is currently an intensive research topic. It has attracted significant interest for detailed motion analysis, as it does not need arrangement of external fiducials while capturing motion data from images. This is promising for rehabilitation applications, as they enable analysis and supervision of clients’ exercises and reduce clients’ need for visiting physiotherapists in person. However, development of a marker-less motion analysis system with precise accuracy for joint identification, joint angle measurements and advanced motion analysis is an open challenge. Objectives: The main objective of this paper is to provide a critical overview of recent computer vision-based marker-less human pose estimation systems and their applicability for rehabilitation application. An overview of some existing marker-less rehabilitation applications is also provided. Methods: This paper presents a critical review of recent computer vision-based marker-less human pose estimation systems with focus on their provided joint localization accuracy in comparison to physiotherapy requirements and ease of use. The accuracy, in terms of the capability to measure the knee angle, is analysed using simulation. Results: Current pose estimation systems use 2D, 3D, multiple and single view-based techniques. The most promising techniques from a physiotherapy point of view are 3D marker-less pose estimation based on a single view as these can perform advanced motion analysis of the human body while only requiring a single camera and a computing device. Preliminary simulations reveal that some proposed systems already provide a sufficient accuracy for 2D joint angle estimations. Conclusions: Even though test results of different applications for some proposed techniques are promising, more rigour testing is required for validating their accuracy before they can be widely adopted in advanced rehabilitation applications.

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A Deep Music Recommendation Method based on Human Motion Analysis

IEEE Access ◽

10.1109/access.2021.3057486 ◽

2021 ◽

pp. 1-1

Author(s):

Wenjuan Gong ◽

Qingshuang Yu

Keyword(s):

Motion Analysis ◽

Human Motion ◽

Human Motion Analysis ◽

Music Recommendation

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Video-Based Human Motion Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2593 ◽

2011 ◽

Vol 403-408 ◽

pp. 2593-2597

Author(s):

Hong Bao ◽

Zhi Min Liu

Keyword(s):

Motion Analysis ◽

Human Body ◽

Body Shape ◽

Human Motion ◽

Random Motion ◽

Human Motion Analysis ◽

Mass Center ◽

Shape Features ◽

Skeleton Model ◽

Regular Motion

In the analysis of human motion, movement was divided into regular motion (such as walking and running) and random motion (such as falling down).Human skeleton model is used in this paper to do the video-based analysis. Key joints on human body were chosen to be traced instead of tracking the entire human body. Shape features like mass center trajectory were used to describe the movement, and to classify human motion. desired results achieved.

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Vision-Assisted Human Motion Analysis for Bed Exit Prediction Model Construction

2017 International Conference on Information, Communication and Engineering (ICICE) ◽

10.1109/icice.2017.8479094 ◽

2017 ◽

Author(s):

Tian-Xiang Chen ◽

Rong-Shue Hsiao ◽

Chun-Hao Kao ◽

Hsin - Piao Lin ◽

Shiann-Shiun Jeng ◽

...

Keyword(s):

Prediction Model ◽

Motion Analysis ◽

Human Motion ◽

Model Construction ◽

Human Motion Analysis

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A Matching-Based Approach for Human Motion Analysis

Lecture Notes in Computer Science - Advances in Multimedia Modeling ◽

10.1007/978-3-540-69429-8_41 ◽

2006 ◽

pp. 405-414 ◽

Cited By ~ 1

Author(s):

Weilun Lao ◽

Jungong Han ◽

Peter H. N. de With

Keyword(s):

Motion Analysis ◽

Human Motion ◽

Human Motion Analysis

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