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Motion Capture Lab

  • This educational lab is well-suited for students who are interested in studying human movement. Laboratory Equipment allows students to conduct a variety of research projects, such as studying the effects of exercise on gait, developing new VR simulations, and evaluating injury risk by integrating motion tracking system and ergonomics tools. 

    Equipment

    Acg Accugait Portable Force Platform

    The Acg Accugait Portable Force Platform measures forces exerted by the feet during walking, running, or other activities. It can be used to study gait patterns, balance, and muscle function. 

    Force Plates

    Computrainer

    The CompuTrainer is an indoor bike trainer that simulates real courses, pre-programmed or imported from GPS, measures wattage, speed, cadence, and even pedal efficiency. It can also be used to create customized training programs. The SpinScan software allows you to understand how even a rider's pedal stroke is or identify whether or not one leg is producing more power than the other. 

    Computertrainer

    VR Research Computers

    The VR Research Computers run virtual reality (VR) applications. VR can be used to study a variety of human behaviors, such as locomotion and navigation. In BME, VR is used alongside the Xsens motion capture system to simulate repetitive movements in professional environments. 

    Oculus
    VR Computer

    XSens motion capture system 

    The Xsens motion capture system uses an array of accelerometers, gyroscopes, and magnetometers to track the movement of the body. It can be used to study human movement in sports, industry, and healthcare sectors. 

    XSens


    CodaMotion CX1

    The CodaMotion system analyzes 3D motion capture data. A subject wears infrared transmitters that are detected by two stationary camera units. It is used to measure the kinematics of human movement at a resolution of 1/70,000 and latency of 0.5 mS.

    Coda Motion

    Motion Analysis Kestrel 2200 

    The Motion Analysis Kestrel motion analysis system uses a combination of 6 cameras at 10,000 FPS to measure the movement of the body. A subject wears reflective orbs that are easily distinguished by digital cameras. It can be used to study a variety of human behaviors, such as gait, sports performance, and rehabilitation. This system is regularly used in video game design and big-budget Hollywood films for character animation.

    Kestral

    Supervisors

    Dr. Xiaoxu Ji 

    Peer-reviewed Journal papers  

    1. Xiaoxu Ji, Ethan Swierski, Maria A. Arenas, Ranuki O. Hettiarachchige, Xin Gao, and Jizhou Tong. (2023). Evaluating the Risk of Injury for Aircraft Attendants using Virtual Reality and Advanced Motion Tracking System Integrated with Ergonomics Analysis. Global Journal of Research in Engineering, 23(G2), 1-12. 

    https://globaljournals.org/GJRE_Volume23/1-Evaluating-the-Risk-of-Injury.pdf 

    1. Ji, X., Hettiarachchige, R. O., Littman, A. L., Lavery, N. L., & Piovesan, D. (2023). Prevent Workers from Injuries in the Brewing Company via Using Digital Human Modelling Technology. Applied Sciences, 13(6), 3593. 

    https://www.mdpi.com/2076-3417/13/6/3593  

    1. Ji, X., Littman, A., Hettiarachchige, R. O., & Piovesan, D. (2023). The Effect of Key Anthropometric and Biomechanics Variables Affecting the Lower Back Forces of Healthcare Workers. Sensors, 23(2), 658. 

    https://www.mdpi.com/1424-8220/23/2/658  

    1. Ji, X., Hettiarachchige, R. O., Littman, A. L., & Piovesan, D. (2023). Using Digital Human Modelling to Evaluate the Risk of Musculoskeletal Injury for Workers in the Healthcare Industry. Sensors, 23(5), 2781. 

    https://www.mdpi.com/1424-8220/23/5/2781  

    1. Ji, X., Hernandez, J., Schweitzer, E., Wang, W., & Piovesan, D. (2023). The assessment of injury risk in the healthcare sector via integrating motion tracking techniques with digital human modelling ergonomic tools. International Journal of Human Factors Modelling and Simulation, 8(1), 1-20.  

    https://www.inderscienceonline.com/doi/pdf/10.1504/IJHFMS.2023.130120  

    1. Ji, X., & Tiari, S. (2022). Posture evaluation for the full-body dynamic simulation in JACK Siemens PLM. International Journal of Human Factors and Ergonomics, 9(3), 261-281. 

    https://www.inderscienceonline.com/doi/10.1504/IJHFE.2022.126127  

    1. Ji, X., Piovesan, D., Arenas, M., & Liu, H. (2022). Analysis of Healthcare Push and Pull Task via JACK: Predicted Joint Accuracy during Full-Body Simulation. Applied Sciences, 12(13), 6450. 

    https://www.mdpi.com/2076-3417/12/13/6450 


    Peer-reviewed conference papers

    1. Littman, A., Hettiarachchige, R. O., Lavery, N., Piovesan, D., Ohu, I., & Ji, X. (2023, May). Injury assessments for brewery workers during their daily activities. In IISE Annual Conference and Expo. Awarded the Best Student Paper Competition in the Human Factors and Ergonomics Track. 

    https://iise.confex.com/iise/2023/meetingapp.cgi/Paper/1294  

    1. Ethan Swierski, Maria Arenas, Xiaoxu Ji. (2023). Flight Attendant Injury Prevention Via the Use of VR and Motion Tracking Techniques While Pushing and Pulling the Service Trolley. The 8th North American International Conference on Industrial Engineering and Operations Management (IEOM), Houston, Texas, USA, (June12-15). Awarded the 1st place winner in the Human Factors and Ergonomics Competition. 

    1. Ji, X., Piovesan, D., & Conley, K. (2022, May). The Effect of Pulling Effort on Lumbar Spine via Applying Digital Human Modeling Technology. In Proceedings of the Institute of Industrial and Systems Engineers (IISE) Annual Conference, Seattle, WA, USA (pp. 21-24). 

    https://www.proquest.com/docview/2715837059?pq-origsite=gscholar&fromopenview=true  

    1. Ji, X., Hernandez, J., Schweitzer, E., & Littman, A. (2021, November). The Accuracy of Dynamic Simulation with the Use of TSB within JACK Siemens PLM software. In Proceedings of the 6th North American International Conference on Industrial Engineering and Operations Management, Monterrey, Mexico (pp. 3-5). 

    http://ieomsociety.org/proceedings/2021monterrey/22.pdf