1A2-F01 Measurement and Analysis of Motion Cognition of Human Upper Limb by using Motion Capture

Purpose Motion capture system (MoCap) has been used in measuring the human body segments in several applications including film special effects, health care, outer-space and under-water navigation systems, sea-water exploration pursuits, human machine interaction and learning software to help teachers of sign language. The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. Design/methodology/approach This paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion. Findings The existing MoCaps suffer from several issues depending on the type of MoCap used. These issues include drifting and placement of Inertial sensors, occlusion and jitters in Kinect, noise in electromyography signals and the requirement of a well-structured, calibrated environment and time-consuming task of placing markers in multiple camera systems. Originality/value This paper outlines the issues and challenges in MoCaps for measuring human upper limb motion and provides an overview on the techniques to overcome these issues and challenges.

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A 4-DOF Upper Limb Exoskeleton for Physical Assistance: Design, Modeling, Control and Performance Evaluation

Applied Sciences ◽

10.3390/app11135865 ◽

2021 ◽

Vol 11 (13) ◽

pp. 5865

Author(s):

Muhammad Ahsan Gull ◽

Mikkel Thoegersen ◽

Stefan Hein Bengtson ◽

Mostafa Mohammadi ◽

Lotte N. S. Andreasen Struijk ◽

...

Keyword(s):

Upper Limb ◽

Tracking Control ◽

Degrees Of Freedom ◽

Control Method ◽

Mechanical Design ◽

Trajectory Tracking Control ◽

Upper Limb Exoskeleton ◽

And Performance ◽

Physically Disabled People ◽

Human Upper Limb

Wheelchair mounted upper limb exoskeletons offer an alternative way to support disabled individuals in their activities of daily living (ADL). Key challenges in exoskeleton technology include innovative mechanical design and implementation of a control method that can assure a safe and comfortable interaction between the human upper limb and exoskeleton. In this article, we present a mechanical design of a four degrees of freedom (DOF) wheelchair mounted upper limb exoskeleton. The design takes advantage of non-backdrivable mechanism that can hold the output position without energy consumption and provide assistance to the completely paralyzed users. Moreover, a PD-based trajectory tracking control is implemented to enhance the performance of human exoskeleton system for two different tasks. Preliminary results are provided to show the effectiveness and reliability of using the proposed design for physically disabled people.

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Adaptive Information Fusion for Human Upper Limb Movement Estimation

IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans ◽

10.1109/tsmca.2012.2189876 ◽

2012 ◽

Vol 42 (5) ◽

pp. 1100-1108 ◽

Cited By ~ 37

Author(s):

Zhi-Qiang Zhang ◽

Lian-Ying Ji ◽

Zhi-Pei Huang ◽

Jian-Kang Wu

Keyword(s):

Information Fusion ◽

Upper Limb ◽

Limb Movement ◽

Human Upper Limb

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Unvealing the Principal Modes of Human Upper Limb Movements through Functional Analysis

Frontiers in Robotics and AI ◽

10.3389/frobt.2017.00037 ◽

2017 ◽

Vol 4 ◽

Cited By ~ 17

Author(s):

Giuseppe Averta ◽

Cosimo Della Santina ◽

Edoardo Battaglia ◽

Federica Felici ◽

Matteo Bianchi ◽

...

Keyword(s):

Functional Analysis ◽

Upper Limb ◽

Limb Movements ◽

Upper Limb Movements ◽

Human Upper Limb

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Research on human upper limb endpoint mechanical impedance with multi-task environment

2018 IEEE International Conference on Applied System Invention (ICASI) ◽

10.1109/icasi.2018.8394295 ◽

2018 ◽

Cited By ~ 1

Author(s):

Chengpeng Wei ◽

Chin-Yin Chen ◽

Xiaohong Gao ◽

Guilin Yang ◽

Gang Zhang ◽

...

Keyword(s):

Upper Limb ◽

Mechanical Impedance ◽

Task Environment ◽

Human Upper Limb

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A Relational Approach to Content-based Analysis of Motion Capture Data

Human Motion - Computational Imaging and Vision ◽

10.1007/978-1-4020-6693-1_20 ◽

2008 ◽

pp. 477-506 ◽

Cited By ~ 3

Author(s):

Meinard Müller ◽

Tido Röder

Keyword(s):

Motion Capture ◽

Motion Capture Data ◽

Relational Approach ◽

Analysis Of Motion

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Examination of Kinect’s Torso PCA Model for Planar Activities Assessment after Stroke

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l1091.10812s219 ◽

2019 ◽

Vol 8 (12S2) ◽

pp. 476-482

Keyword(s):

Motion Capture ◽

Upper Limb ◽

Daily Living ◽

Hand Movement ◽

Three Dimensional ◽

Principal Component ◽

Stroke Patients ◽

Joint Coordination ◽

Arm Transport ◽

Statistical Results

Compensatory movement after stroke occurred when inter-joint coordination between arm and forearm for the purpose of arm transport becomes limited due to the weaknesses of the upper limb after stroke. This limitation causes an inefficiency of hand movement to perform the activity of daily living (ADL). Previous work has shown the possibility of using Kinect to assess torso compensation in typical assessment of upper limb movement in a stroke-simulated setting using a Torso Principal Component Analysis (PCA) Model. This research extends the study into evaluating Torso PCA Model in terms of orientation angles of the torso in three dimensional when performing planar activities namely circle tracing and point-topoint tracing. The orientation angles were compared to the outcome of the measurement from a standard motion capture system and Kinect’s intrinsic chest orientation angles. Based on the statistical results, Torso PCA model is concurrently valid with the clinically accepted measures of torso orientation and can be used further to analyze torso compensation in stroke patients.

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