Alle Publikationen
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2005
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(2005): Active affective State detection and user assistance with dynamic bayesian networks. In: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 35 (1), S. 93-105. DOI: 10.1109/TSMCA.2004.838454
DOI: https://doi.org/10.1109/TSMCA.2004.838454 Abstract: 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.
Keywords: active affective state detection, active fusion, active sensing mechanism, affective state detection, Angemessen(heit) (von Technik), Bayesian methods, Bayesian networks (BNs), belief networks, Context modeling, Costs, dynamic Bayesian networks, Face detection, ieee xplore, information integration, Information theory, Intelligent networks, Intelligent sensors, Intelligent Systems, intelligent user assistance system, probabilistic framework, sensor fusion, Systems engineering, theory, Ubiquitous computing, user assistance, user interfaces -
(2005): Intelligent and Efficient Strategy for Unstructured Environment Sensing Using Mobile Robot Agents. In: Journal of Intelligent & Robotic Systems 43 (2-4), S. 217-253. DOI: 10.1007/s10846-004-3063-y
DOI: https://doi.org/10.1007/s10846-004-3063-y Abstract: In field environments it is not usually possible to provide robots in advance with valid geometric models of its task and environment. The robot or robot teams need to create these models by scanning the environment with its sensors. Here, an information-based iterative algorithm to plan the robot’s visual exploration strategy is proposed to enable it to most efficiently build 3D models of its environment and task. The method assumes mobile robot (or vehicle) with vision sensors mounted at a manipulator end-effector (eye-in-hand system). This algorithm efficiently repositions the systems’ sensing agents using an information theoretic approach and fuses sensory information using physical models to yield a geometrically consistent environment map. This is achieved by utilizing a metric derived from Shannon’s information theory to determine optimal sensing poses for the agent(s) mapping a highly unstructured environment, This map is then distributed among the agents using an information-based relevant data reduction scheme, This method is particularly well suited to unstructured environments, where sensor uncertainty is significant. Issues addressed include model-based multiple sensor data fusion, and uncertainty and vehicle suspension motion compensation. Simulation results show the effectiveness of this algorithm. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
2004
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Sprague, Ralph H. (2004): Proceedings of the 37th Annual Hawaii International Conference on System Sciences. Abstracts and CD-ROM of full papers : 5-8 January, 2004, Big Island, Hawaii. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. Big Island, HI, USA, 1/8/2004 - 1/8/2004. Annual Hawaii International Conference on System Sciences; IEEE Computer Society. Los Alamitos, Calif: IEEE Computer Society Press
1949
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(1949): The mathematical theory of communication. Urbana: Univ. of Illinois Press
Abstract: The mathematical theory of communication, by C. E. Shannon. Recent contributions to the mathematical theory of communication, by W. Weaver
1948
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(1948): A Mathematical Theory of Communication. In: Bell System Technical Journal 27 (3), S. 379-423. DOI: 10.1002/j.1538-7305.1948.tb01338.x
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