Motion capture sensing techniques used in human upper limb motion: a review. Issue 4 (11th June 2019)

• Record Type: Journal Article
• Authors: Yahya, Muhammad; Shah, Jawad Ali; Kadir, Kushsairy Abdul; Yusof, Zulkhairi M.; Khan, Sheroz; Warsi, Arif
• Is Part Of: Sensor review. Volume 39:Issue 4(2019)
• Page Start: 504
• Page End: 511
• Publication Date: 2019-06-11
• Subjects: Motion estimation -- Motion capture system -- Upper limb -- Upper limb motion; Sensor systems -- Periodicals; Detectors -- Industrial applications -- Periodicals; Engineering instruments -- Periodicals; 681.2
• DOI: 10.1108/SR-10-2018-0270
• Languages: English
• ISSNs: 0260-2288

Abstract

Abstract : 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.