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1. Introduction
Human upper limb motion tracking is a speedily growing research area. Motion capture systems (MoCaps) are used in several applications such as range of motion (ROM) (Gómez-García et al., 2014), postural control (Huang and Brown, 2013), gait analysis (Wang, 2006) and sports application (Lamoth and van Heuvelen, 2012). Recently, it has been used to address various issues related to stroke rehabilitation (Hondori et al., 2013; Pridmore et al., 2004; Burke et al., 2008). Stroke patients may suffer from serious damages in the form of impaired speech, memory and movement depending on the area affected in brain and the degree of stroke (Pastor et al., 2012). Choppin et al. (2014) have developed applications using various MoCap to help stroke patients to achieve certain ROM or control over a specific location of brain (or muscle group) by repetition of many physical therapies. Fern’ndez-Baena et al. (2012) explored MoCap systems as marker and markerless technique which can locate human body segments motion. In a marker system, markers are attached to the human anatomical parts to track motion, while markerless systems make use of image features for detection of body segments motion. These markers can be active or passive markers which are explained in Field et al. (2011).
This review paper mainly evaluates the MoCap system used in human anatomical parts emphasizing on Upper limb motions. Section 2 shows search methodology and statistics. Different types of motion captures system is explained in Section 3. Section 4 demonstrates the structure of human upper arm and the degree of freedom (DOF). Section 5 explains about evaluation of MoCap systems based on type of sensor, tools and techniques and experimental evaluation. Sections 6 and 7 presents features of Mocap system and concluding remarks respectively.
2. Search methodology and statistics
Figure 1 illustrates the growth of published papers on upper limb motion using Kinect, IMU, Vicon, Qualisys, OptiTrack and other MoCaps from 2007 to 2018. The graph shows that upper motion analysis is a growing area for research.
We have searched upper limb motion keyword in Scopus database and further searched Kinect, inertial sensors, Vicon, OptiTrack, Qualisys and other MoCap in the results of upper limb motion.
3. Motion capture system types and its limitation
Many...