Results 11 to 20 of about 68,720 (238)
Gaze-Based Intention Estimation for Shared Autonomy in Pick-and-Place Tasks
Frontiers in Neurorobotics, 2021 Shared autonomy aims at combining robotic and human control in the execution of remote, teleoperated tasks. This cooperative interaction cannot be brought about without the robot first recognizing the current human intention in a fast and reliable way so
Stefan Fuchs, Anna Belardinelli
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Survey of intention recognition for opponent modeling
网络与信息安全学报, 2021 Several different methods of opponent modeling were introduced, leading to the problem of intention recognition in behavior modeling. Then, the process, classification, main methods, research prospects and practical applications of intention recognition ...
GAO Wei +1 more
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Research on Human-Computer Interaction Intention Recognition Based on EEG and Eye Movement
IEEE Access, 2020 In this work, we present a novel method to intention recognition, based on electroencephalogram (EEG) and eye movement in human-computer interaction(HCI). The fusion of EEG and eye movement will allow the utmost of the advantages of the two physiological
Minrui Zhao +3 more
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Practical Guidelines for Intent Recognition [PDF]
Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021 Intent recognition models, which match a written or spoken input's class in order to guide an interaction, are an essential part of modern voice user interfaces, chatbots, and social robots. However, getting enough data to train these models can be very expensive and challenging, especially when designing novel applications such as real-world human ...
Huggins, M +5 more
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False recognition without intentional learning [PDF]
Psychonomic Bulletin & Review, 2004 Asked to memorize a list of semantically related words, participants often falsely recall or recognize a highly related semantic associate that has not been presented (the critical lure). Does this false memory phenomenon depend on intentional word reading and learning?
Michael D, Dodd, Colin M, MacLeod
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A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving
IEEE Access, 2020 As a key technology of intelligent transportation system, the intelligent vehicle is the carrier of comprehensive integration of many technologies. Although vision-based autonomous driving has shown excellent prospects, there is still a problem of how to
Yanfen Li +7 more
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Complex & Intelligent Systems, 2023 This paper researches the problem of Beyond Visual Range (BVR) air combat maneuver intention recognition. To achieve efficient and accurate intention recognition, an Attention enhanced Tuna Swarm Optimization-Parallel Bidirectional Gated Recurrent Unit ...
Xie Lei +5 more
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IEEE Access, 2023 Most existing air target intention recognition methods use only single-moment information, risking failure when acquiring data containing noise and many outliers. The robustness of methods that utilize continuous moment information has yet to be explored.
Zihao Song +4 more
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Improved Motion Classification With an Integrated Multimodal Exoskeleton Interface
Frontiers in Neurorobotics, 2021 Human motion intention detection is an essential part of the control of upper-body exoskeletons. While surface electromyography (sEMG)-based systems may be able to provide anticipatory control, they typically require exact placement of the electrodes on ...
Kevin Langlois +12 more
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Intent Recognition from Speech and Plan Recognition [PDF]
, 2020 In multi-agent systems, the ability to infer intentions allows artificial agents to act proactively and with partial information. In this paper we propose an algorithm to infer a speakers intentions with natural language analysis combined with plan recognition.
Persiani, Michele, Hellström, Thomas
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