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Abstract
In this paper, we investigate the issues associated with facial expression recognition of Traumatic Brain Insured (TBI) patients in a realistic scenario. These patients have restricted or limited muscle movements with reduced facial expressions along with non-cooperative behavior, impaired reasoning and inappropriate responses. All these factors make automatic understanding of their expressions more complex. While the existing facial expression recognition systems showed high accuracy by taking data from healthy subjects, their performance is yet to be proved for real TBI patient data by considering the aforementioned challenges. To deal with this, we devised scenarios for data collection from the real TBI patients, collected data which is very challenging to process, devised effective way of data preprocessing so that good quality faces can be extracted from the patients facial video for expression analysis, and finally, employed a state-of-the-art deep learning framework to exploit spatio-temporal information of facial video frames in expression analysis. The experimental results confirms the difficulty in processing real TBI patients data, while showing that better face quality ensures better performance in this case.
Originalsprog | Engelsk |
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Titel | VISAPP 2018 : 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. |
Redaktører | Alain Tremeau, Jose Braz, Francisco Imai |
Antal sider | 9 |
Vol/bind | 4 |
Forlag | SCITEPRESS Digital Library |
Publikationsdato | 2018 |
Sider | 522-530 |
ISBN (Trykt) | 978-989-758-290-5 |
ISBN (Elektronisk) | 978-989-758-290-5 |
DOI | |
Status | Udgivet - 2018 |
Begivenhed | International Conference on Computer Vision Theory and Applications - Funchal, Madeira, Portugal, Madeira, Portugal Varighed: 27 jan. 2018 → 29 jan. 2018 http://visapp.visigrapp.org/Home.aspx |
Konference
Konference | International Conference on Computer Vision Theory and Applications |
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Lokation | Funchal, Madeira, Portugal |
Land/Område | Portugal |
By | Madeira |
Periode | 27/01/2018 → 29/01/2018 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Facial Expression Recognition for Traumatic Brain Injured Patients'. Sammen danner de et unikt fingeraftryk.Projekter
- 2 Afsluttet
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Computer Vision Techniques for Rehabilitation of Traumatic Brain Injured Patients
Ilyas, C. M.
03/04/2017 → 20/04/2020
Projekter: Projekt › Forskning
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Handling stress reactions in institutional care by adapting interaction behavior of a social robot
Ilyas, C. M., Nasrollahi, K., Rehm, M. & Moeslund, T. B.
03/04/2017 → 14/04/2020
Projekter: Projekt › Forskning
Publikation
- 12 Citationer
- 1 Ph.d.-afhandling
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Facial Emotion Recognition for Citizens with Traumatic Brain Injury for Therapeutic Robot Interaction
Ilyas, C. M., 2021, Aalborg Universitetsforlag. 196 s.Publikation: Ph.d.-afhandling
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