Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
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Central executive functions likely mediate the impact of device operation when driving
S Mizobuchi, M Chignell, J Suzuki, K Koga, K Nawa. Cited by 7
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Affective Interaction
DM Lottridge, M Chignell, A Jovičić. Cited by 88
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Solving the multiobjective environmental/economic dispatch problem with prohibited operating zones using NSGA-II
RTFA King, HCS Rughooputh, K Deb. Cited by 17
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Studies on effective thermal conductivity of particle-reinforced polymeric flexible mould material composites
AK Nandi, K Deb, S Datta, J Orkas. Cited by 6
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Assessing age-related performance decrements in user interface tasks
X Zhou, S Zhao, M Chignell, X Ren. Cited by 6
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Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System
HS Park, K Oh, SB Cho. Cited by 35
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Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images
A Mandal, S Ghosh, AK Ghosh
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Communication of Emotion in Social Robots through Simple Head and Arm Movements
JJ Li, M Chignell. Cited by 93
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Sliders Rate Valence but not Arousal: Psychometrics of Self-Reported Emotion Assessment
DM Lottridge, M Chignell. Cited by 6
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Design of a contactless sensor system for woven-bag manufacture monitoring
M Supattatham, N Waraporn, W Thumbanthu, JH Chan
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Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem
L Feng, YS Ong, QH Nguyen, A Tan. Cited by 20
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Comparison of NSGA-II and SPEA2 on the Multiobjective Environmental/Economic Dispatch Problem
RTFA King, K Deb, HCS Rughooputh. Cited by 24