Fusing deep learned and hand-crafted features of appearance, shape, and dynamics for automatic pain estimation J Egede, M Valstar, B Martinez 2017 12th IEEE international conference on automatic face & gesture …, 2017 | 75 | 2017 |
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions JO Egede, S Song, TA Olugbade, C Wang, CDC Amanda, H Meng, ... 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 42 | 2020 |
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database J Egede, M Valstar, MT Torres, D Sharkey 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 18 | 2019 |
Deep Learned Cumulative Attribute Regression S Jaiswal, J Egede, M Valstar 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 17 | 2018 |
Cumulative attributes for pain intensity estimation JO Egede, M Valstar Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 8 | 2017 |
Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety JO Egede, D Price, DB Krishnan, S Jaiswal, N Elliot, R Morriss, MJG Trigo, ... Proceedings of the 21th ACM International Conference on Intelligent Virtual …, 2021 | 7 | 2021 |
Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study J Egede, MJG Trigo, A Hazzard, M Porcheron, E Bodiaj, JE Fischer, ... Proceedings of the 21th ACM International Conference on Intelligent Virtual …, 2021 | 5 | 2021 |
ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies MJ Galvez Trigo, M Porcheron, J Egede, JE Fischer, A Hazzard, ... CUI 2021-3rd Conference on Conversational User Interfaces, 1-5, 2021 | 1 | 2021 |
ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies MJG Trigo, M Porcheron, J Egede, JE Fischer, A Hazzard, C Greenhalgh, ... | | 2021 |
Unsupervised learning of facial expression components JO Egede University of Nottingham, 0 | | |