Human Behavior Learning and Transfer: 1st Edition (Hardback) book cover

Human Behavior Learning and Transfer

1st Edition

By Yangsheng Xu, Ka Keung C. Lee

CRC Press

352 pages | 203 B/W Illus.

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pub: 2005-09-06
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Description

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and transferring human skills. They also cover modeling continuous and discontinuous human control strategy and discuss simulation studies and practical real-life situations.

The book examines how to model two main aspects of human behavior: reaction skills and action skills. It begins with a discussion of the various topics involved in human reaction skills modeling. The authors apply machine learning techniques and statistical analysis to abstracting models of human reaction control strategy. They contend that such models can be learned sufficiently to emulate complex human control behaviors in the feedback loop.

The second half of the book explores issues related to human action skills modeling. The methods presented are based on techniques for reducing the dimensionality of data sets, while preserving as much useful information as possible. The modeling approaches developed are applied in real-life applications including navigation of smart wheel chairs and intelligent surveillance.

Written in a consistent, easily approachable style, the book includes in-depth discussions of a broad range of topics. It provides the tools required to formalize human behaviors into algorithmic, machine-coded strategies.

Table of Contents

INTRODUCTION

Motivation

Overview

INTRODUCTION TO HUMAN REACTION SKILL MODELING

Motivation

Related Work

LEANING OF HUMAN CONTROL STRATEGY: CONTINUOUS AND DISCONTINUOUS

Experimental Design

Cascade Neural Networks with Kalman Filtering

HCS Models: Continuous Control

HCS Models: Discontinuous Control

VALIDATION OF HUMAN CONTROL STRATEGY MODELS

Need for Model Validation

Stochastic Similarity Measure

Human-to-Model Comparisons

EVALUATION OF HUMAN CONTROL STRATEGY

Introduction

Obstacle Avoidance

Tight Turning

Transient Response

Time Delay

Passenger Comfort

Driving Smoothness

Summary

PERFORMANCE OPTIMIZATION OF HUMAN CONTROL STRATEGY

Introduction

Simultaneously Perturbed Stochastic Approximation

Iterative Optimization Algorithm

Model Optimization and Performance Analysis

Summary

TRANSFER OF HUMAN CONTROL STRATEGY

Introduction

Model Transfer Based on Similarity Measure

Model Compensation

Summary

TRANSFERRING HUMAN NAVIGATIONAL SKILLS TO SMART WHEELCHAIR

Introduction

Methodology

Experimental Study

Analysis

Conclusion

INTRODUCTION TO HUMAN ACTION SKILL MODELING

Learning Action Models

Dimension Reduction Formulation

Related Research

GLOBAL PARAMETRIC METHODS FOR DIMENSION REDUCTION

Introduction

Parametric Methods for Global Modeling

An Experimental Data Set

PCA for Modeling Performance Data

NLPCA

SNLPCA

Comparison

Characterizing NLPCA Mappings

LOCAL METHODS FOR DIMENSION REDUCTION

Introduction

Non-parametric Methods for Trajectory Fitting

Scatter Plot Smoothing

Action Recognition Using Smoothing Splines

An Experiment Using Spline Smoothing

Principal Curves

Expanding the One-Dimensional Representation

Branching

Over-Fitting

A SPLINE SMOOTHER IN PHASE SPACE FOR TRAJECTORY FITTING

Smoothing with Velocity Information

Problem Formulation

Solution

Notes on Computation and Complexity

Similar Parameterizations

Multi-Dimensional Smoothing

Estimation of Variances

Windowing Variance Estimates

The Effect of Velocity Information

Cross-Validation

ANALYSIS OF HUMAN WALKING TRAJECTORIES FOR SURVEILLANCE

Introduction

System Overview

Background Subtraction

Global Trajectory Similarity Estimation

Trajectory Normality Classifier

Experiment 1: Trajectory Normality Classifier

Further Analysis on Global Trajectory Similarity Based on LCSS

Methodology Used in Boundary Modeling

LCSS Boundary Limit Establishment

Experiment 2: Boundary Modeling

Discussion

Conclusions

MODELING OF FACIAL AND FULL-BODY ACTIONS

Facial Expression Intensity Modeling

Full-Body Action Modeling

CONCLUSIONS

About the Authors

Yangsheng Xu received his Ph.D. from University of Pennsylvania in the area of robotics in 1989. He has been with the Department of Automation and Computer-Aided Engineering at The Chinese University of Hong Kong (CUHK) since 1997, and served as department chairman from 1997 to 2004. Prof. Xu is currently a chair professor in the department and he was a faculty member at the School of Computer Science, Carnegie Mellon University (CMU) from 1989 to 1999. Prof. Xu’s research interests have been in robotics and human interface, and their applications in service, aerospace, and industry. At first he worked on designing and controling robots for space operations. He also made contributions in human control strategy modeling and applications in real-time control. His more recent efforts have been concentrated on wearable interface, intelligent surveillance, and future space systems. He has been a principal investigator in more than 30 projects funded by both governments and industries. Based on his research work, he has fortunately published over 70 papers in journals, 130 papers in international conferences, and several book contributions and books. He has been serving or served on advisory boards or panels in various government agencies and industries in the United States, Japan, Korea, Hong Kong, and mainland China. He is a fellow of IEEE, HKIE, and IEAS. Ka Keung Lee received his bachelor of information technology and bachelor of engineering (hons.) degrees from the Australian National University (ANU) in 1995 and 1997, respectively. From ANU, he received a full-fee international undergraduate scholarship for the years 1992-1996. He received the master of philosophy and doctor of philosophy degrees from the Department of Automation and Computer-Aided Engineering at The Chinese University of Hong Kong in 2000 and 2004, respectively. Dr. Lee worked in the School of Computer Science of the Australian Defence Force Academy (ADFA) in 1995; was a visiting scholar at the Division of Information Technology of the Commonwealth Scientific and Research Organisation (CSIRO), Australia in 1996; and served as a software engineer in the computer harddisk industry in Hong Kong in 1997-1998. His current research interests include human action modeling, human sensation modeling, intelligent surveillance, and wearable robotics. Currently, Dr. Lee is a postdoctoral fellow in the Department of Automation and Computer-Aided Engineering at The Chinese University of Hong Kong.

Subject Categories

BISAC Subject Codes/Headings:
COM000000
COMPUTERS / General
COM051240
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TEC017000
TECHNOLOGY & ENGINEERING / Industrial Health & Safety