Projects per year
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.
Original language | English |
---|---|
Title of host publication | VISAPP 2018 : 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. |
Editors | Alain Tremeau, Jose Braz, Francisco Imai |
Number of pages | 9 |
Volume | 4 |
Publisher | SCITEPRESS Digital Library |
Publication date | 2018 |
Pages | 522-530 |
ISBN (Print) | 978-989-758-290-5 |
ISBN (Electronic) | 978-989-758-290-5 |
DOIs | |
Publication status | Published - 2018 |
Event | International Conference on Computer Vision Theory and Applications - Funchal, Madeira, Portugal, Madeira, Portugal Duration: 27 Jan 2018 → 29 Jan 2018 http://visapp.visigrapp.org/Home.aspx |
Conference
Conference | International Conference on Computer Vision Theory and Applications |
---|---|
Location | Funchal, Madeira, Portugal |
Country/Territory | Portugal |
City | Madeira |
Period | 27/01/2018 → 29/01/2018 |
Internet address |
Keywords
- Computer Vision
- Face Detection
- Facial Landmarks
- Facial Expressions
- Convolution Neural Networks
- Long-Short Term Memory
- Traumatic Brain Injured Patients
Fingerprint
Dive into the research topics of 'Facial Expression Recognition for Traumatic Brain Injured Patients'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Computer Vision Techniques for Rehabilitation of Traumatic Brain Injured Patients
Ilyas, C. M.
03/04/2017 → 20/04/2020
Project: Research
-
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
Project: Research
Research output
- 12 Citations
- 1 PhD thesis
-
Facial Emotion Recognition for Citizens with Traumatic Brain Injury for Therapeutic Robot Interaction
Ilyas, C. M., 2021, Aalborg Universitetsforlag. 196 p.Research output: PhD thesis
Open AccessFile202 Downloads (Pure)