Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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The operator as a purposive system: a new approach to human factors
M Chignell, PA Hancock. Cited by 3
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A neural network based testbed for modelling sensorimotor integration in robotic applications
AH Fagg, I King, MA Lewis, J Liaw, A Weitzenfeld. Cited by 6
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A Face Processing System Based on Committee Machine: The Approach and Experimental Results
KF Jang, HM Tang, MRT Lyu, I King. Cited by 4
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An application of the discrete Fourier transformation in simulating large neural networks
I King
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Truncated experiments and field experiments in usability engineering
M Chignell, JF Valdez. Cited by 2
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On-line handwriting recognition with a neuro-fuzzy method
SB Cho
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Coordination of multiple behavior modules evolved on CAM-Brain
KJ Kim, SB Cho
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An adaptive codebook design using the branching competitive learning network
H Xiong, I King, YS Moon. Cited by 1
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A human-oriented image retrieval system using interactive genetic algorithm
SB Cho, J Lee. Cited by 97
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Assessment of the effects of user characteristics on mental models of information retrieval systems
X Zhang, M Chignell. Cited by 60
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An Agent-based Platform for Online Auctions
A Lee, MRT Lyu, I King. Cited by 1
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Monitoring cognitive performance with a serious game: A longitudinal case study on online cognitive assessment using serious games
J 浦上, J Urakami, YZ Hu, M Chignell