Fundamentals of speech recognition
Fundamentals of speech recognition
A framework for recognizing multi-agent action from visual evidence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Discovery and Segmentation of Activities in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Bayesian Approach to Human Activity Recognition
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Real-time American Sign Language recognition from video using hidden Markov models
ISCV '95 Proceedings of the International Symposium on Computer Vision
Control of Selective Perception using Bayes Nets and Decision Theory
Control of Selective Perception using Bayes Nets and Decision Theory
Recognition and Interpretation of Parametric Gesture
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Building Qualitative Event Models Automatically from Visual Input
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Verification vision for programmable assembly
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
The BATmobile: towards a Bayesian automated taxi
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
Approximate nonmyopic sensor selection via submodularity and partitioning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An empirical study of the potential for context-aware power management
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
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The computation required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for selective perception in SEER, a multimodal system for recognizing office activity that relies on a cascade of Hidden Markov Models (HMMs) named Layered Hidden Markov Model (LHMMs). We use LHMMs to diagnose states of a user's activity based on real-time streams of evidence from video, audio and computer (keyboard and mouse) interactions. We review our efforts to employ expected-value-of-information (EVI) to limit sensing and analysis in a context-sensitive manner. We discuss an implementation of a greedy EVI analysis and compare the results of using this analysis with a heuristic sensing policy that makes observations at different frequencies. Both policies are then compared to a random perception policy, where sensors are selected at random. Finally, we discuss the sensitivity of ideal perceptual actions to preferences encoded in utility models about information value and the cost of sensing.