Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …

We present a real-time gesture classification system for skeletal wireframe motion. Its key
components include an angular representation of the skeleton designed for recognition …

This paper presents new methods for automatic classification and retrieval of motion capture
data facilitating the identification of logically related motions scattered in some database. As …

Temporal alignment of human motion has been a topic of recent interest due to its
applications in animation, telerehabilitation and activity recognition among others. This …

Motor learning is based on motor perception and emergent perceptual-motor
representations. A lot of behavioral research is related to single perceptual modalities but …

The ways to compute the kinematics and dynamic quantities of human bodies in motion
have been studied in many biomedical papers. This paper presents a comprehensive …

The recent advancement of motion recognition using Microsoft Kinect stimulates many new
ideas in motion capture and virtual reality applications. Utilizing a pattern recognition …

We review methods for kinematic tracking of the human body in video. The review is part of a
projected book that is intended to cross-fertilize ideas about motion representation between …

Animated virtual human characters are a common feature in interactive graphical
applications, such as computer and video games, online virtual worlds and simulations. Due …

Temporal alignment of human motion has been of recent interest due to its applications in
animation, tele-rehabilitation and activity recognition. This paper presents generalized …