# Ergonomics Evaluation Using Motion Capture Technology--Literature Review
## 4 Summary of Theoretical Knowledge
For example, in the paper **Innovative real-time system to integrate ergonomic evaluations into warehouse design and management,** the authors have developed a system based on inertial sensors with integrated magnetic interference compensation and long wireless connection specifically for this purpose [70]. Another important research set consists of articles from the construction industry. Workers in the construction industry are often exposed to physically demanding manual tasks with a high degree of ergonomic risk [71; 72]. The rapid development of motion sensors in the construction industry enables proactive accident prevention by reducing the number of dangerous actions that commonly occur [73]. The authors of the articles **Experience, Productivity, and Musculoskeletal Injury among Masonry Workers**[74], **Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers**[75], and **Stochastic Modelling for Assessment of Human Perception and Motion Sensing Errors in Ergonomic Analysis**[71] want to achieve consistent results. Using Inertial Measurement Units (IMUs) and video cameras, they reduce the risk of musculoskeletal disorders, injuries, and eliminate unhealthy work behaviour of workers [62; 65; 66]. Motion capture is used for a variety of purposes in healthcare, whether to evaluate working postures, for example at dental practices, or as a tool to support rehabilitation [29; 76; 77; 78]. It can also include a medical study on **Motion tracking and gait feature estimation for recognising [PERSON]'s disease using MS Kinect,** which focuses on the use of Microsoft Kinect image and depth sensors for gait analysis and detection of [PERSON]'s disease symptoms [76; 77; 79; 80]. Less common is the use of motion capture technology in the fields of sport, music, dance, etc. Athletes make all efforts possible to achieve maximum performance and to overcome not only their competitors, but especially themselves [81; 82]. The article **Using Wearable Sensors to Capture Posture of the Human Lumbar Spine in Competitive Swimming** presented the possibility of using wearable inertial sensors for swimmers' training. Unlike visual analysis or video analysis, this system was able to provide objective measured data on the position of a swimmer's lumbar spine. The outputs subsequently provided coaches and researchers with valuable information on swimmer performance and technique in competitive swimming styles [83]. Another example of the use of inertial sensors is the study **Paddle Stroke Analysis for Kayakers Using Wearable Technologies**, which focuses on capturing the correct posture of a kayaker. Again, the proposed approach provides coaches and athletes with quantitative information that is crucial to achieving perfect performance and avoiding sports injuries [84]. The authors of the article **Folk Dance Evaluation Using Laban Movement Analysis** used the MoCap suit in a very interesting way, specifically to capture folk dance movements. After capturing the movements, a virtual reality simulator prototype was then created to teach them. Here, the user could view the dance segments and then repeat them themselves. The user's movements were captured and compared to a template and the dancer then received intuitive feedback [85]. We cannot ignore the expanding use of motion capture technology in the entertainment industry. Special effects designers and game developers have been trying for almost half a century to create digital human characters, animals, and effects that would be indistinguishable from reality. Until recently, this goal was almost unachievable. However, nowadays, there are technologies that allow creators to get close to this goal. One such tool is motion capture, which, as mentioned earlier, allows human movement to be recorded using sensors and digitally maps the movement onto computer-generated creatures [86].