Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices

Rafique, S; Fleury, M; Kanwal, N; Karamat, I; Asghar, MN

doi:10.1109/access.2020.3048311

All Outputs (7)

Deep Learning based Customer Count/Flow Monitoring System for Social Distancing (2021)
Presentation / Conference Contribution
Kanwal, N. (2021, December). Deep Learning based Customer Count/Flow Monitoring System for Social Distancing

Lightweight Deep Learning Model for Automated COVID-19 Diagnosis from CXR Images (2021)
Presentation / Conference Contribution
Hussain, Z., Andleeb, I., Ansari, M., & Kanwal, N. (2021, December). Lightweight Deep Learning Model for Automated COVID-19 Diagnosis from CXR Images

Lightweight Deep Learning Model for Detection of Copy-move Image Forgery with Post-processed Attacks (2021)
Presentation / Conference Contribution
Kanwal, N. (2021, December). Lightweight Deep Learning Model for Detection of Copy-move Image Forgery with Post-processed Attacks

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference Contribution
Mohammed, Z., Asghar, M., & Kanwal, N. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference Contribution
Rafique, S., Kanwal, N., Samar Ansari, M., Asghar, M., & Akhtar, Z. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.

Improved Privacy-Ensuring Data-Fusion and Service Recommendation for Users in Smart Cities (2021)
Presentation / Conference Contribution
Sarim, M., Ansari, M. S., Kanwal, N., & Asghar, M. (2021, September). Improved Privacy-Ensuring Data-Fusion and Service Recommendation for Users in Smart Cities. Paper presented at 2021 IEEE International Smart Cities Conference (ISC2), Manchester, United Kingdom

Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices (2021)
Journal Article
Rafique, S., Fleury, M., Kanwal, N., Karamat, I., & Asghar, M. (2021). Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices. IEEE Access, 5354 - 5370. https://doi.org/10.1109/access.2020.3048311

Emotional care is important for some patients and their caregivers. Within a clinical or home care situation, technology can be employed to remotely monitor the emotional response of such people. This paper considers pupillometry as a non-invasive wa... Read More about Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices.