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Motion Capture Technology in Industrial Applications: A Systematic Review.
Matteo Menolotto1, Dimitrios-Sokratis Komaris1, Salvatore Tedesco1
1Tyndall National Institute, University College Cork, Cork T23, Ireland.
Sensors (Basel, Switzerland)
|October 8, 2020
Summary
Motion capture (MoCap) technologies, including inertial measurement units (IMUs) and cameras, are crucial for Industry 4.0. Inertial sensors are preferred, while camera systems excel in robotics despite obstruction challenges.
Area of Science:
- Industrial Engineering
- Robotics
- Human-Computer Interaction
Background:
- Industry 4.0 necessitates advanced sensing for novel industrial processes.
- Motion capture (MoCap) sensors like cameras and inertial measurement units (IMUs) are vital for robotics, additive manufacturing, teleworking, and safety.
Purpose of the Study:
- To synthesize and evaluate existing research on MoCap technologies in industry-related applications.
- To categorize studies by sensor type, industry sector, and application focus.
Main Methods:
- Systematic literature review of Embase, Scopus, Web of Science, and Google Scholar (2015 onwards).
- Quality appraisal using the AXIS tool.
- Categorization of 59 selected studies based on sensor type, industry, and application.
Main Results:
- Inertial sensors (70%) were favored over camera-based sensors (40%).
- Construction (30.5%), robotics (15.3%), and automotive (10.2%) were key sectors.
- Health and safety (64.4%) dominated applications, followed by process/product improvement (17%).
- Camera systems showed promise in robotics but faced obstruction issues.
Conclusions:
- Inertial sensors are the primary choice for industrial MoCap.
- Advancements in machine learning enhance MoCap capabilities for tasks like activity recognition and fatigue detection.
