A Bayesian model of plan recognition
Artificial Intelligence
Needles in a haystack: plan recognition in large spatial domains involving multiple agents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Robotics-based location sensing using wireless ethernet
Proceedings of the 8th annual international conference on Mobile computing and networking
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Probabilistic State-Dependent Grammars for Plan Recognition
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Activity maps for location-aware computing
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A sound and fast goal recognizer
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A cost minimization approach to human behavior recognition
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Power-Efficient Access-Point Selection for Indoor Location Estimation
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Domain-constrained semi-supervised mining of tracking models in sensor networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Activity recognition via user-trace segmentation
ACM Transactions on Sensor Networks (TOSN)
Robust and efficient plan recognition for dynamic multi-agent teams
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Multiple-goal recognition from low-level signals
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Activity recognition through goal-based segmentation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Hypothesis pruning and ranking for large plan recognition problems
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
The hidden permutation model and location-based activity recognition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
Activity recognition: linking low-level sensors to high-level intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
The use of hidden semi-Markov models in clinical diagnosis maze tasks
Intelligent Data Analysis
Unsupervised context detection using wireless signals
Pervasive and Mobile Computing
Three challenges in data mining
Frontiers of Computer Science in China
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
Abnormality detection for improving elder's daily life independent
ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
Activity Recognition for Dynamic Multi-Agent Teams
ACM Transactions on Intelligent Systems and Technology (TIST)
User-dependent aspect model for collaborative activity recognition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Human activity recognition with trajectory data in multi-floor indoor environment
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Semantic trajectories: Mobility data computation and annotation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
LocateMe: Magnetic-fields-based indoor localization using smartphones
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Feature engineering for semantic place prediction
Pervasive and Mobile Computing
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Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recognition model that combines low-level sensory readings with high-level goal inference. A two-level architecture is proposed to infer a user's goals in a complex indoor environment using an RF-based wireless network. The novelty of our work derives from our ability to infer a user's goals from sequences of signal trajectory, and the ability for us to make a trade-off between model accuracy and inference efficiency. The model relies on a dynamic Bayesian network to infer a user's actions from raw signals, and an N-gram model to infer the users' goals from actions. We present a method for constructing the model from the past data and demonstrate the effectiveness of our proposed solution through empirical studies using some real data that we have collected.