Results 211 to 220 of about 68,720 (238)
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Context-Based Bayesian Intent Recognition
IEEE Transactions on Autonomous Mental Development, 2012One of the foundations of social interaction among humans is the ability to correctly identify interactions and infer the intentions of others. To build robots that reliably function in the human social world, we must develop models that robots can use to mimic the intent recognition skills found in humans.
R. Kelley +5 more
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Intention Recognition with Clustering
2012Intention recognition has significant applications in ambient intelligence, assisted living and care of the elderly, amongst others. In this paper we explore an approach to intention recognition based on clustering. To this end we show how to map the intention recognition problem into a clustering problem.
Fariba Sadri, Weikun Wang, Afroditi Xafi
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Prosody and Intention Recognition
2015Listeners face multiple challenges in mapping prosody onto intentions: The relevant intentions vary with the general context of an utterance (e.g., the speaker’s goals) and how prosodic contours are realized varies across speakers, accents, and speech conditions.
Michael K. Tanenhaus +2 more
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Figure recognition with intentional observation
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 2003When perceiving an object humans do not receive stimuli passively, but observe the object actively to obtain useful information for recognizing it. A neural network model which realizes such active perception by utilizing neural dynamics is proposed. The model consists of a sensory unit, a representation field, and recognition units.
Y. Sakaguchi, K. Nakano
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Personalized teleoperation via intention recognition
Advanced Robotics, 2018One of the challenges of teleoperation is the recognition of a user’s intended commands, particularly in the manning of highly dynamic systems such as drones.
Serge Mghabghab +2 more
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Speech Intent Recognition for Robots
2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), 2016We present the design of a dialog manager that performs speech intent recognition, based on a finite state machine which enables simultaneous processing of multiple sub-modules and maintains ordered transitions of system states. The dialog manager is integrated into a spoken dialog system.
Borui Shen, Diana Inkpen
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Intentional massive insulin overdose: Recognition and management
Annals of Emergency Medicine, 1993A case of intentional massive insulin overdose requiring prolonged glycemic support is presented. Suicidal insulin overdose may be more common than generally appreciated. Because hypoglycemic reactions are evaluated routinely in the ED, emergency physicians should maintain a high degree of suspicion regarding suicidal intent or foul play in diabetics ...
R J, Roberge +2 more
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Corpus-Based Intention Recognition in Cooperation Dilemmas
Artificial Life, 2012Intention recognition is ubiquitous in most social interactions among humans and other primates. Despite this, the role of intention recognition in the emergence of cooperative actions remains elusive. Resorting to the tools of evolutionary game theory, herein we describe a computational model showing how intention recognition coevolves with ...
The Anh, Han +2 more
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Lane changing intention recognition based on speech recognition models
Transportation Research Part C: Emerging Technologies, 2016Abstract Poor driving habits such as not using turn signals when changing lanes present a major challenge to advanced driver assistance systems that rely on turn signals. To address this problem, we propose a novel algorithm combining the hidden Markov model (HMM) and Bayesian filtering (BF) techniques to recognize a driver’s lane changing intention.
Keqiang Li +3 more
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Human-Robot Interaction using Intention Recognition
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015Recognition of human intention is an important issue in human-robot interaction research and allows a robot to respond adequately according to human's wish. In this paper, we discuss how robots can infer human intention by learning affordance, a concept used to represent the relation between an agent and its environment.
Sangwook Kim +4 more
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