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Your search keyword '"Alirezaie, Marjan"' showing total 108 results
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108 results on '"Alirezaie, Marjan"'

101. On Relation Between Facial Expressions and Emotions

Author

Samsonovich, Alexei V., Sidorov, Alexandr, Inozemtsev, Alexandr, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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103. Memory System and Memory Types for Real-Time Reasoning Systems

Author

Isaev, Peter, Hammer, Patrick, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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104. Stimulus Equivalence in NARS

Author

Johansson, Robert, Lofthouse, Tony, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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105. Bridging AGI Theory and Practice with Galois Connections

Author

Goertzel, Ben, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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106. Rational OpenCog Controlled Agent

Author

Geisweiller, Nil, Yusuf, Hedra, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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107. Towards Cognitive Bots: Architectural Research Challenges

Author

Gidey, Habtom Kahsay, Hillmann, Peter, Karcher, Andreas, Knoll, Alois, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hammer, Patrick, editor, Alirezaie, Marjan, editor, and Strannegård, Claes, editor

Published
2023
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108. Multi-sensor dataset of human activities in a smart home environment.

Author

Chimamiwa G, Alirezaie M, Pecora F, and Loutfi A

Abstract

Time series data acquired from sensors deployed in smart homes present valuable information for intelligent systems to learn activity patterns of occupants. With the increasing need to enable people to age in place independently, the availability of such data is key to the development of home monitoring solutions. In this article we describe an unlabelled dataset of measurements collected from multiple environmental sensors placed in a smart home to capture human activities of daily living. Various sensors were used including passive infrared, force sensing resistors, reed switches, mini photocell light sensors, temperature and humidity, and smart plugs. The sensors record data from the user's interactions with the environment, such as indoor movements, pressure applied on the bed, or current consumption when using electrical appliances. Millions of raw sensor data samples were collected continuously at a frequency of 1 Hz over a period of six months between 26 February 2020 and 26 August 2020. The dataset can be useful in the analysis of different methods, including data-driven algorithms for activity or habit recognition. In particular, the research community might be interested in investigating the performance of algorithms when applied on unlabelled datasets and not necessarily on annotated datasets. Furthermore, by applying artificial intelligence (AI) algorithms on such data collected over long periods, it is possible to extract patterns that reveal the user's habits as well as detect changes in the habits. This can benefit in detecting deviations in order to provide timely interventions for patients, e.g., people with dementia., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have influenced the work reported in this article., (© 2020 Published by Elsevier Inc.)

Published
2020
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