Automatic Emotional State Detection and Analysis on Embedded Devices
Funder: Brunel Research Initiative & Enterprise FundDuration: November 2012 - October 2013
BRIEF Award
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Hongying Meng Professor (Principal investigator)
T: +44 (0)1895 265496
E: hongying.meng@brunel.ac.uk |
+44 (0)1895 265496 | hongying.meng@brunel.ac.uk | Howell Building 233 |
Outputs
Turabzadeh, S., Meng, H., Swash, M., Pleva, M. and Juhár, J. (2018) 'Facial Expression Emotion Detection for Real-time Embedded Systems'. Technologies, 6 (1). pp. 17 - 17. ISSN: 2227-7080
Turabzadeh, S., Meng, H., Swash, RM., Pleva, M. and Juhar, J. (2017) 'Real-time Emotional State Detection from Facial Expression on Embedded Devices'.Seventh International Conference on Innovative Computing Technology (INTECH 2017). Luton, UK. 16 - 18 August. IEEE. pp. 1 - 5.
Alshamsi, H., Meng, H. and Li, M. (2016) 'Real Time Facial Expression Recognition App Development on Mobile Phones'.12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. IEEE. pp. 1750 - 1755.
Dai, D., Liu, Q. and Meng, H. (2016) 'Can Your Smartphone Detect Your Emotion?'.12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. IEEE. pp. 1704 - 1709.
Gaus, YFBA., Meng, H., Jan, A., Zhang, F. and Turabzadeh, S. (2015) 'Automatic Affective Dimension Recognition from Naturalistic Facial Expressions Based on Wavelet Filtering and PLS Regression'.IEEE FG2015 Workshop (EmoSPACE 2015). Ljubljana, Slovenia. 8 - 8 May. IEEE. pp. 1 - 6. ISSN: 2326-5396
Jan, A., Meng, H., Gaus, YFA., Zhang, F. and Turabzadeh, S. (2014) 'Automatic depression scale prediction using facial expression dynamics and regression'.The 4th International Workshop on Audio/Visual Emotion Challenge (AVEC14). Orlando, FL, USA. 7 - 7 November. ACM. pp. 73 - 80.
Meng, H., Huang, D., Wang, H., Yang, H., Al-Shuraifi, M. and Wang, Y. (2013) 'Depression Recognition based on Dynamic Facial and Vocal Expression Features using Partial Least Square Regression'.ACM multimedia 2013 workshop AVEC’13. Barcelona, Spain. 21 - 25 October. ACM. pp. 21 - 30.