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Tactical Intention Recognition in Wargame
2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 2021Opponent modeling is a significant method in imperfect information games. And intention recognition is regarded as the important but difficult in opponent modeling. This paper focuses on the task of tactical intention recognition in computational wargame.
Xuan Liu +4 more
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Real time intention recognition
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016Automatic detection of emotions has many applications, but there is the capacity for improvement with respect to level of automation, accuracy, and speed. A system for recognizing emotions through facial expressions in live video streams and video sequences is presented in this paper.
Anwar, Suzan +4 more
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Analysis of Attack Intention Recognition
Advances in Multidisciplinary and scientific Research Journal Publication, 2022With the rapid development of network technology, network security problems are gradually increasing, and the network attack situation is very severe (Chen, Yanhua, Li, & Gao, 2019). In a complex attack scenario, timely detection of potential attack behaviours and timely identification and pre-judgment of attack intentions are important components ...
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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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