Privacy intrusion detection using dynamic Bayesian networks
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Toward multimodal fusion of affective cues
Proceedings of the 1st ACM international workshop on Human-centered multimedia
EURASIP Journal on Advances in Signal Processing
Natural Language Engineering
Learner attending auto-monitor in distance learning using image recognition and Bayesian Networks
Expert Systems with Applications: An International Journal
Landmark detection from mobile life log using a modular Bayesian network model
Expert Systems with Applications: An International Journal
A decision theoretic model for stress recognition and user assistance
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Emotion recognition from facial expressions and its control using fuzzy logic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A driver fatigue recognition model based on information fusion and dynamic Bayesian network
Information Sciences: an International Journal
The framework of mental state transition analysis
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Temporal context lie detection and generation
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
Fusion of modular bayesian networks for context-aware decision making
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Simple statistical inference algorithms for task-dependent wellness assessment
Computers in Biology and Medicine
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Determining the value of information for collaborative multi-agent planning
Autonomous Agents and Multi-Agent Systems
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With the rapid development of pervasive and ubiquitous computing applications, intelligent user-assistance systems face challenges of ambiguous, uncertain, and multimodal sensory observations, user's changing state, and various constraints on available resources and costs in making decisions. We introduce a new probabilistic framework based on the dynamic Bayesian networks (DBNs) to dynamically model and recognize user's affective states and to provide the appropriate assistance in order to keep user in a productive state. We incorporate an active sensing mechanism into the DBN framework to perform purposive and sufficing information integration in order to infer user's affective state and to provide correct assistance in a timely and efficient manner. Experiments involving both synthetic and real data demonstrate the feasibility of the proposed framework as well as the effectiveness of the proposed active sensing strategy.