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Dr Stamos Katsigiannis' Outputs (8)

A machine learning driven solution to the problem of perceptual video quality metrics (2020)
Book Chapter
Katsigiannis, S., Rabah, H., & Ramzan, N. (2020). A machine learning driven solution to the problem of perceptual video quality metrics. In M. Z. Shakir, & N. Ramzan (Eds.), AI for Emerging Verticals; Human-robot computing, sensing and networking. IET

The advent of high-speed internet connections, advanced video coding algorithms, and consumer-grade computers with high computational capabilities has led videostreaming-over-the-internet to make up the majority of network traffic. This effect has le... Read More about A machine learning driven solution to the problem of perceptual video quality metrics.

Machine learning-based affect detection within the context of human-horse interaction (2020)
Book Chapter
Althobaiti, T., Katsigiannis, S., West, D., Rabah, H., & Ramzan, N. (2020). Machine learning-based affect detection within the context of human-horse interaction. In M. Z. Shakir, & N. Ramzan (Eds.), AI for Emerging Verticals; Human-robot computing, sensing and networking. IET

This chapter focuses on the use of machine learning techniques within the field of affective computing, and more specifically for the task of emotion recognition within the context of human-horse interaction. Affective computing focuses on the detect... Read More about Machine learning-based affect detection within the context of human-horse interaction.

EEG-based biometrics: Effects of template ageing (2020)
Book Chapter
Arnau-González, P., Katsigiannis, S., Arevalillo-Herráez, M., & Ramzan, N. (2020). EEG-based biometrics: Effects of template ageing. In M. Z. Shakir, & N. Ramzan (Eds.), AI for Emerging Verticals; Human-robot computing, sensing and networking. IET

This chapter discusses the effects of template ageing in EEG-based biometrics. The chapter also serves as an introduction to general biometrics and its main tasks: Identification and verification. To do so, we investigate different characterisations... Read More about EEG-based biometrics: Effects of template ageing.

Information Retrieval from Electronic Health Records (2020)
Book Chapter
Al-Qahtani, M., Katsigiannis, S., & Ramzan, N. (2020). Information Retrieval from Electronic Health Records. In M. A. Imran, R. Ghannam, & Q. H. Abbasi (Eds.), Engineering and technology for healthcare (117-128). Wiley-IEEE Press

Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems (2020)
Journal Article
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2021). Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems. IEEE Sensors Journal, 21(3), 3366-3378. https://doi.org/10.1109/jsen.2020.3023886

Intelligent Tutoring Systems (ITS) have shown great potential in enhancing the learning process by being able to adapt to the learner’s knowledge level, abilities, and difficulties. An aspect that can affect the learning process but is not taken into... Read More about Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems.

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning (2020)
Journal Article
Althobaiti, T., Katsigiannis, S., & Ramzan, N. (2020). Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning. Sensors, 20(13), Article 3777. https://doi.org/10.3390/s20133777

The detection of activities of daily living (ADL) and the detection of falls is of utmost importance for addressing the issue of serious injuries and death as a consequence of elderly people falling. Wearable sensors can provide a viable solution for... Read More about Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning.

Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking (2020)
Presentation / Conference Contribution
Blakey, W. A., Katsigiannis, S., Hajimirza, N., & Ramzan, N. (2020, December). Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. Presented at IS&T International Symposium on Electronic Imaging, Burlingame, CA, USA

This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such... Read More about Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking.