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FER-TBI: Facial Expression Recognition for Traumatic Brain Injured Patients

Published in 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2018), 2018

Ilyas, C.M.A., Haque, M.A., Rehm, M., Nasrollahi, K. and Moeslund, T.B. (2018). "Facial Expression Recognition for Traumatic Brain Injured Patients." Proceedings of VISAPP 2018, VISIGRAPP, SciTePress, pp. 522–530.

MMI-FER: Effective Facial Expression Recognition Through Multimodal Imaging for Traumatic Brain Injured Patient’s Rehabilitation

Published in Computer Vision, Imaging and Computer Graphics Theory and Applications — Communications in Computer and Information Science (CCIS), Vol. 997, Springer, 2019

Ilyas, C.M.A., Haque, M.A., Rehm, M., Nasrollahi, K. and Moeslund, T.B. (2019). "Effective Facial Expression Recognition Through Multimodal Imaging for Traumatic Brain Injured Patient's Rehabilitation." In Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2018. CCIS, vol. 997. Springer, Cham.

CommPad: Developing a User-Centred Communication Pad for Cognitive and Physical Impaired People

Published in 8th EAI International Conference on Arts and Technology, Interactivity and Game Creation (ArtsIT 2019), LNICST Vol. 328, Springer, 2020

Ilyas, C.M.A., Rodil, K. and Rehm, M. (2020). "Developing a user-centred Communication Pad for Cognitive and Physical Impaired People." In A. Brooks & E.I. Brooks (Eds.), ArtsIT, Interactivity & Game Creation, LNICST Vol. 328, pp. 124–137. Springer.

CtxRead: Context Preservation Through Eye Tracking — Adaptive Reading Application Design for an Optimal Reading Experience

Published in 2025 Symposium on Eye Tracking Research and Applications (ETRA 2025), ACM, 2025

Jensen, H.E., Ilyas, C.M.A., Tashk, A., Cooreman, B., Beier, S. and Bækgaard, P. (2025). "Context Preservation Through Eye Tracking: Adaptive Reading Application Design for an Optimal Reading Experience." In Proceedings of ETRA 2025, Article 78. Association for Computing Machinery. https://doi.org/10.1145/3715669.3725897

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