Motion is one of the fundamental attributes of human life and underlies our actions, gestures as well as our behavior. The capture and synthesis of human motion have been among the core areas of interest for research community including psychology, education and learning, and facilitate a variety of applications such as behavioral performance, avatar creation, 3D character animations, AR/VR, crowd simulation, sports analytics, functional movement disorder training and many more.

 

Sensor-based 3D motion capture systems measure and analyze the movement and orientation of the human body in both natural and controlled environments. The wearable nature of a 3D motion capture system offers the flexibility to be used outside of the traditional lab environment. This portability allows researchers, clinicians, and sports professionals to capture and analyze motion in real-world settings, providing more accurate and relevant data. By using an array of inertial measurement units (IMUs), these systems can measure and analyze anatomical joint angles, orientation, and linear acceleration during everyday activities or specific tasks performed in natural environments. Real-time data visualization, through graphs and a skeletal avatar, enables immediate feedback and analysis, which can be critical for on-the-spot adjustments and decision-making.

 

The prime goal of the workshop is to bring the human motion synthesis into the existing paradigms inside the fields including psychology, neuroscience, education and more. To enable this, we invited Mr. Peter Chan from OMGL company to demonstrate the potential usages for motion capture systems. With this workshop, we hope to encourage cross-pollination of ideas coming from different vantage points as well as discuss the gap between the academic and the industrial perspectives of the topic. The workshop details are as follows: