Next Article in Journal
Sleep Stage Estimation from Bed Leg Ballistocardiogram Sensors
Next Article in Special Issue
Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)
Previous Article in Journal
Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems
Previous Article in Special Issue
Switchable Glass Enabled Contextualization for a Cyber-Physical Safe and Interactive Spatial Augmented Reality PCBA Manufacturing Inspection System
Open AccessReview

Motion Capture Technology in Industrial Applications: A Systematic Review

Tyndall National Institute, University College Cork, T23 Cork, Ireland
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(19), 5687; https://doi.org/10.3390/s20195687
Received: 9 September 2020 / Revised: 24 September 2020 / Accepted: 2 October 2020 / Published: 5 October 2020
(This article belongs to the Special Issue Advanced Measurements for Industry 4.0)
The rapid technological advancements of Industry 4.0 have opened up new vectors for novel industrial processes that require advanced sensing solutions for their realization. Motion capture (MoCap) sensors, such as visual cameras and inertial measurement units (IMUs), are frequently adopted in industrial settings to support solutions in robotics, additive manufacturing, teleworking and human safety. This review synthesizes and evaluates studies investigating the use of MoCap technologies in industry-related research. A search was performed in the Embase, Scopus, Web of Science and Google Scholar. Only studies in English, from 2015 onwards, on primary and secondary industrial applications were considered. The quality of the articles was appraised with the AXIS tool. Studies were categorized based on type of used sensors, beneficiary industry sector, and type of application. Study characteristics, key methods and findings were also summarized. In total, 1682 records were identified, and 59 were included in this review. Twenty-one and 38 studies were assessed as being prone to medium and low risks of bias, respectively. Camera-based sensors and IMUs were used in 40% and 70% of the studies, respectively. Construction (30.5%), robotics (15.3%) and automotive (10.2%) were the most researched industry sectors, whilst health and safety (64.4%) and the improvement of industrial processes or products (17%) were the most targeted applications. Inertial sensors were the first choice for industrial MoCap applications. Camera-based MoCap systems performed better in robotic applications, but camera obstructions caused by workers and machinery was the most challenging issue. Advancements in machine learning algorithms have been shown to increase the capabilities of MoCap systems in applications such as activity and fatigue detection as well as tool condition monitoring and object recognition. View Full-Text
Keywords: health and safety; IMU; industry 4.0; motion tracking; robot control; wearable sensors health and safety; IMU; industry 4.0; motion tracking; robot control; wearable sensors
Show Figures

Figure 1

MDPI and ACS Style

Menolotto, M.; Komaris, D.-S.; Tedesco, S.; O’Flynn, B.; Walsh, M. Motion Capture Technology in Industrial Applications: A Systematic Review. Sensors 2020, 20, 5687. https://doi.org/10.3390/s20195687

AMA Style

Menolotto M, Komaris D-S, Tedesco S, O’Flynn B, Walsh M. Motion Capture Technology in Industrial Applications: A Systematic Review. Sensors. 2020; 20(19):5687. https://doi.org/10.3390/s20195687

Chicago/Turabian Style

Menolotto, Matteo; Komaris, Dimitrios-Sokratis; Tedesco, Salvatore; O’Flynn, Brendan; Walsh, Michael. 2020. "Motion Capture Technology in Industrial Applications: A Systematic Review" Sensors 20, no. 19: 5687. https://doi.org/10.3390/s20195687

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop