Simulating Movement Interactions Between Avatars & Agents in Virtual Worlds Using Human Motion Constraints

Advances in Tracking and Recognition of Human Motion

Encyclopedia of Information Science and Technology, Second Edition ◽

10.4018/978-1-60566-026-4.ch012 ◽

2011 ◽

pp. 65-71

Author(s):

Niki Aifanti ◽

Angel D. Sappa ◽

Nikos Grammalidis ◽

Sotiris Grammalidis Malassiotis

Keyword(s):

Moving Objects ◽

Research Area ◽

Initial Position ◽

Human Motion ◽

Target Person ◽

Motion Constraints ◽

Simplifying Assumptions ◽

Ill Posed ◽

Important Research Area ◽

Tracking And Recognition

Tracking and recognition of human motion has become an important research area in computer vision. In real world conditions it constitutes a complicated problem, considering cluttered backgrounds, gross illumination variations, occlusions, self-occlusions, different clothing and multiple moving objects. These ill-posed problems are usually tackled by making simplifying assumptions regarding the scene or by imposing constraints on the motion. Constraints such as that the contrast between the moving people and the background should be high and that everything in the scene should be static except for the target person are quite often introduced in order to achieve accurate segmentation. Moreover, the motion of the target person is often confined to simple movements with limited occlusions. In addition, assumptions such as known initial position and posture of the person are usually imposed in tracking processes.

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Real-time humanoid whole-body remote control framework for imitating human motion based on kinematic mapping and motion constraints

Advanced Robotics ◽

10.1080/01691864.2019.1581658 ◽

2019 ◽

Vol 33 (6) ◽

pp. 293-305 ◽

Cited By ~ 2

Author(s):

Jaesung Oh ◽

Inho Lee ◽

Hyobin Jeong ◽

Jun-Ho Oh

Keyword(s):

Remote Control ◽

Real Time ◽

Human Motion ◽

Whole Body ◽

Motion Constraints ◽

Control Framework ◽

Kinematic Mapping

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Human Motion Tracking and Recognition

Encyclopedia of Information Science and Technology, First Edition ◽

10.4018/978-1-59140-553-5.ch239 ◽

2005 ◽

pp. 1355-1360

Author(s):

Niki Aifanti ◽

Angel D. Sappa ◽

Nikos Grammalidis ◽

Sotiris Malassiotis

Keyword(s):

Motion Tracking ◽

Moving Objects ◽

Research Area ◽

Initial Position ◽

Human Motion ◽

Target Person ◽

Motion Constraints ◽

Simplifying Assumptions ◽

Ill Posed ◽

Tracking And Recognition

Tracking and recognition of human motion has become an important research area in computer vision. In real-world conditions it constitutes a complicated problem, considering cluttered backgrounds, gross illumination variations, occlusions, self-occlusions, different clothing, and multiple moving objects. These ill-posed problems are usually tackled by simplifying assumptions regarding the scene or by imposing constraints on the motion. Constraints such as that the contrast between the moving people and the background should be high, and that everything in the scene should be static except for the target person, are quite often introduced in order to achieve accurate segmentation. Moreover, the motion of the target person is often confined to simple movements with limited occlusions. In addition, assumptions such as known initial position and posture of the person are usually imposed in tracking processes.

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Optimization Based Dynamic Human Motion Prediction with Modular Exoskeleton Robots as Interactive Forces: The Case of Weight Lifting Motion

10.5772/intechopen.98391 ◽

2021 ◽

Author(s):

Hyun-Joon Chung

Keyword(s):

Dynamic Balance ◽

Interaction Force ◽

Human Motion ◽

Performance Measure ◽

Weight Lifting ◽

Body Frame ◽

Motion Constraints ◽

Generalized Force ◽

Box Lifting ◽

Joint Limits

The optimization-based dynamics model is formulated for the weight lifting motion with human and exoskeleton model as interactive force term in this chapter. In the optimization algorithm, the human motion is defined as variables so that the motion which we want to generate (box lifting motion in this case) can be predicted. The objective function or cost function is defined as performance measure which can be switched by developer. In this paper we use the summation of each joint torque square which is considered as the dynamic effort for the motion. Constraints are defined as joint limits, torque limits, hand position, dynamic balance, exoskeleton assistive points, etc. Interaction force form exoskeleton robot can be derived as generalized coordinates and generalized force which are related to inertial reference frame and human body frame. The results can show how effective the exoskeleton robots are according to their assistive force.

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A Study on Posture Correction Based on Computer Vision

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.3207 ◽

2014 ◽

Vol 513-517 ◽

pp. 3207-3211

Author(s):

De Liang Cai ◽

Shao Na Lin

Keyword(s):

Structural Parameters ◽

Three Dimensional ◽

Human Motion ◽

Small Areas ◽

Motion Constraints ◽

Nonlinear Minimization ◽

Three Dimensional Measurement ◽

Traditional Sports ◽

Motion Parameters ◽

Movement Parameters

During basketball sport, the movement of a joint is quite complex. And if move fast, it is difficult to constrain by fix algorithm the subtle angle changes between joints. Traditional sports vision modeling method is unable to describe the moving changes of the small areas which causes the unsatisfactory measuring effect of subtle posture in motion. This paper proposes a measurement method for three-dimensional motion posture of basketball athletes. It converts the constrained optimization problem for motion parameters as a nonlinear minimization problem by optimizing human motion parameters; uses L-M motion constraints parameter to provide fast convergent regularization method, in order to seek motion and structural parameters matrix of non-rigid basketball sport and complete three-dimensional measurement for motion parameters. The simulation results show that the method can accurately measure the 3D movement parameters of the athletes.

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