Plan, activity, and intent recognition: Theory and practice

Gita Sukthankar, Christopher Geib, Hung Hai Bui, David Pynadath, Robert P Goldman

Research output: Book/ReportBook


Key Features

Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars
Explains how to interpret and recognize plans and activities from sensor data
Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines

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 developments in the field made possible by improved sensors, increased computational power, and new application areas.

Academic researchers and industrial researchers in specific application areas such as user interface design and video surveillance systems.
Original languageEnglish
PublisherMorgan Kaufmann
Number of pages424
ISBN (Electronic)9780124017108
ISBN (Print)9780123985323
Publication statusPublished - 10 Apr 2014


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