Research in describing humanoid motions begins with the works for describing human dances. Popular dance notation systems include Benesh, Labanotation, and EW. Benesh is the simplest one and is designed particularly for dance description. Labanotation is more comprehensive for describing human motion in general. EW can be applied on linkage systems other than human body.
Book Description
Computers are now used to aid the interpretation and visualization of these notations. Researchers used Labanotation as a basis to represent human motion, proposed to extract key motion primitives, and proposed architectures for digital representation of human movements.
Table of Contents
- Humanoid Robotic Language and Virtual Reality Simulation
- Towards Artificial Communication Partners with a Multiagent Mind Model Based on Mental Image Directed Semantic Theory
- Walking Gait Planning And Stability Control
- Developing New Abilities for Humanoid Robots with a Wearable Interface
- Humanoid Robot With Imitation Ability
- Toward Intelligent Biped-Humanoids Gaits Generation
- 6-DOF Motion Sensor System Using Multiple Linear Accelerometers
- The Design of Humanoid Robot Arm Based on Morphological and Neurological Analysis of Human Arm
- Dynamic Decision Making for Humanoid Robots Based on a Modular Task Structure
- Neurophysiological Models of Gaze Control in Humanoid Robotics
- The Reaction Mass Pendulum (RMP) Model for Humanoid Robot Gait and Balance Control
- Stable Walking Pattern Generation for a Biped Robot Using Reinforcement Learning
- A Walking Pattern Generation Method for Humanoid Robots Using Least Square Method and Quartic Polynomial
- Emotion-based Architecture for Social Interactive Robots
- Performance Assessment of a 3 DOF Differential Based Waist Joint for the “iCub” Baby Humanoid Robot
- Connectives Acquisition in a Humanoid Robot Based on an Inductive Learning Language Acquisition Model
- A Biologically Founded Design and Control of a Humanoid Biped
- Emotion Mimicry in Humanoid Robots Using Computational Theory of Perception
- New Approach of Neural Network for Controlling Locomotion and Reflex of Humanoid Robot