Lecture

Full-Body Motion Capture: Posture and Collision Avoidance

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In course

CS-444: Virtual reality

The goal of VR is to embed the users in a potentially complex virtual environment while ensuring that they are able to react as if this environment were real. The course provides a human perception-action background and describes the key programming techni ...

Description

This lecture covers the background of full-body motion capture, posture reconstruction using Analytic IK and Jacobian-based IK, collision avoidance techniques, and examples of full-body interaction projects like Ikinema Orion. It also discusses the concept of proxy for an articulated chain, collision anticipation, approaching movement damping, and the future of full-body interaction.

Instructor

Ronan Boulic

I come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.

Official source

Related concepts (15)

Human–computer interaction

Human–computer interaction (HCI) is research in the design and the use of computer technology, which focuses on the interfaces between people (users) and computers. HCI researchers observe the ways humans interact with computers and design technologies that allow humans to interact with computers in novel ways. A device that allows interaction between human being and a computer is known as a "Human-computer Interface (HCI)".

Inverse kinematics

In computer animation and robotics, inverse kinematics is the mathematical process of calculating the variable joint parameters needed to place the end of a kinematic chain, such as a robot manipulator or animation character's skeleton, in a given position and orientation relative to the start of the chain. Given joint parameters, the position and orientation of the chain's end, e.g. the hand of the character or robot, can typically be calculated directly using multiple applications of trigonometric formulas, a process known as forward kinematics.

Finger tracking

In the field of gesture recognition and , finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D. In addition to that, the finger tracking technique is used as a tool of the computer, acting as an external device in our computer, similar to a keyboard and a mouse. The finger tracking system is focused on user-data interaction, where the user interacts with virtual data, by handling through the fingers the volumetric of a 3D object that we want to represent.

Articulated robot

An articulated robot is a robot with rotary joints (e.g. a legged robot or an industrial robot). Articulated robots can range from simple two-jointed structures to systems with 10 or more interacting joints and materials. They are powered by a variety of means, including electric motors. Some types of robots, such as robotic arms, can be articulated or non-articulated. Image:Factory Automation Robotics Palettizing Bread.jpg|Robots palletizing food (Bakery) Image: Robotics Cutting Bridge Building Parts.

Motion capture

Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications, and for validation of computer vision and robots. In filmmaking and video game development, it refers to recording actions of human actors and using that information to animate digital character models in 2D or 3D computer animation. When it includes face and fingers or captures subtle expressions, it is often referred to as performance capture.

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