Results 11 to 20 of about 41,579 (241)
Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Predicting the user’s intended locomotion mode is critical for wearable robot control to assist the user’s seamless transitions when walking on changing terrains.
Minhan Li +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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Human–Computer Interaction Multi-Task Modeling Based on Implicit Intent EEG Decoding
Applied Sciences, 2023 In the short term, a fully autonomous level of machine intelligence cannot be achieved. Humans are still an important part of HCI systems, and intelligent systems should be able to “feel” and “predict” human intentions in order to achieve dynamic ...
Xiu Miao, Wenjun Hou
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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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Evaluating a New Auto-ML Approach for Sentiment Analysis and Intent Recognition Tasks
Journal on Interactive Systems, 2023 Automated Machine Learning (AutoML) is a research area that aims to help humans solve Machine Learning (ML) problems by automatically discovering good ML pipelines (algorithms and their hyperparameters for every stage of a machine learning process) for ...
Douglas Nunes de Oliveira +6 more
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Plan and Intent Recognition in a Multi-agent System for Collective Box Pushing
Journal of Intelligent Systems, 2014 In a distributed multi-agent system, an idle agent may be available to assist other agents in the system. An agent architecture called intent recognition is proposed in this article to accomplish this with minimal communication. To assist other agents in
Ahmad Najla, Agah Arvin
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Multimodal Intent Recognition Based on Attention Modality Fusion [PDF]
Jisuanji gongchengIntent recognition is important in natural language understanding. Previous research on intent recognition has primarily focused on single-modal intent recognition for specific tasks.
SU Jianhua, CHI Yunxian, XU Yunfeng, GAO Kai
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Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models
Frontiers in Artificial Intelligence, 2021 The need for increased maritime security has prompted research focus on intent recognition solutions for the naval domain. We consider the problem of early classification of the hostile behavior of agents in a dynamic maritime domain and propose our ...
Logan Carlson +4 more
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Factors Affecting the Use of Facial-Recognition Payment: An Example of Chinese Consumers
IEEE Access, 2019 The emergence and use of facial-recognition payment technology has brought new challenges. Although credit-card payment is quick and easy, it is easy to lose a card or forget the password.
Wen Kun Zhang, Min Jung Kang
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