Discovering, Recognizing and Predicting Human Behavior from Sensor Data
Book Details:
Pages: | 288 |
Published: | Apr 21 2015 |
Posted: | Apr 09 2017 |
Language: | English |
Book format: | PDF |
Book size: | 3.59 MB |
Book Description:
Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an indepth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, stepbystep information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behaviorbased sensor data Recognizing occurrences of predefined or discovered activities in real time Predicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use.With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.
2nd Edition
This document introduces basic modeling concepts that are used in SAS Activity-Based Management software. To complete the model-building process, move through this tutorial from beginning to end, exactly as it is presented. This tutorial also provides information that helps you become familiar with the SAS Activity-Based Management software: the concepts, terminology, commands, and dialog boxes....
Theory and Practice
Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: . personal agent assistants . computer and network security . opponent modeling in games and simulation systems . coordination in robots and software agents . web e-commerce and collaborative filtering . dialog modeling . video surveillance . smart homes In this book, follow the history of this research area and witness exciting new developm...
A complete guide to successful learning using Moodle
A complete guide to successful learning using Moodle, focused on course development and delivery and using the best educational practices. Moodle is relatively easy to install and use, but the real challenge is to develop a learning process that leverages its power and maps effectively onto the content established learning situation. This book guides you through meeting that challenge. This book is for anyone who wants to get the best from Moodle. Beginners will get a thorough guide to how the software works, with great ideas for getting off to a good start with their first course. More experienced Moodlers will find powerful insights into developing more successful and educational courses....
2007 - 2021 © eBooks-IT.org