Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Affective computing
Showing results 1 to 10 of 10
Issue Date | Title | Author(s) |
2013 | Affective state level recognition in naturalistic facial and vocal expressions | Meng, H; Bianchi-Berthouze, N |
2018 | Artificial intelligence system for continuous affect estimation from naturalistic human expressions | Abd Gaus, Yona Falinie |
2014 | Automatic depression scale prediction using facial expression dynamics and regression | Jan, A; Meng, H; Gaus, YFA; Zhang, F; Turabzadeh, S |
2014 | Automatic emotional state detection using facial expression dynamic in videos | Meng, H; Huang, D |
2018 | Automotive emotions: a human-centred approach towards the measurement and understanding of drivers' emotions and their triggers | Weber, Marlene |
2018 | Emotion Detection from EEG Recordings Based on Hybrid Dimension Reduction on Distinct Features | Liu, J; Meng, H; Li, M; Zhang, F; Qin, R; Nandi, A |
2010 | Emotional recognition in computing | Axelrod, Lesley Ann |
2011 | Multi-score Learning for Affect Recognition: the Case of Body Postures | Meng, H; Kleinsmith, A; Bianchi-Berthouze, N |
2011 | Naturalistic Affective Expression Classification by a Multi-Stage Approach Based on Hidden Markov Models | Meng, H; Bianchi-Berthouze, N |
2016 | Time-delay neural network for continuous emotional dimension prediction from facial expression sequences | Meng, H; Bianchi-Berthouze, N; Deng, Y; Cheng, J; Cosmas, J |