Browsing Conferences - Electronics, Computer & Software Engineering TUS:MM by Author "Flynn, Ronan"
Now showing items 1-10 of 10
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A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
Vijayakumar, Sowmya; Flynn, Ronan; Murray, Niall (IEEE, 2020-06)Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition. The non-invasive nature of peripheral physiological signal measurement ... -
Comparing user QoE via physiological and interaction measurements of immersive AR and VR speech and language therapy applications.
Keighery, Conor; Flynn, Ronan; Murray, Siobhan; Brennan, Sean; Murray, Niall (ACM, 2017)Virtual reality (VR)1and augmented reality (AR) applications are gaining significant attention in industry and academia as potential avenues to support truly immersive and interactive multimedia experiences. Understanding ... -
Continuous affect prediction using eye gaze and speech.
O'Dwyer, Jonny; Flynn, Ronan; Murray, Niall (IEEE, 2017-12)Affective computing research traditionally focused on labeling a person's emotion as one of a discrete number of classes e.g. happy or sad. In recent times, more attention has been given to continuous affect prediction ... -
The effect of cybersickness of an immersive wheelchair simulator.
Salgado, Débora P.; Rodrigues, Thiago Braga; Martins, Felipe R.; Naves, Eduardo L.M.; Flynn, Ronan; Murray, Naill (Elsevier, 2019-11-07)A key challenge that Immersive applications have to overcome is cybersickness. Cybersickness is particularly prevalent in dynamic applications such as vehicles simulators. The work presented here aims to understand the ... -
Evaluating the user in a sound localisation task in a virtual reality application.
Moraes, Adrielle Nazar; Flynn, Ronan; Hines, Andrew; Murray, Niall (IEEE, 2020-05)Virtual reality (VR) has proven to be a powerful tool enabling the development of immersive multimedia experiences. Initially focused on entertainment, industry and academia have begun to adapt and develop immersive ... -
Eye-based continuous affect prediction.
O'Dwyer, Jonny; Murray, Niall; Flynn, Ronan (IEEE Xplore, 2019-12)Eye-based information channels include the pupils, gaze, saccades, fixational movements, and numerous forms of eye opening and closure. Pupil size variation indicates cognitive load and emotion, while a person's gaze ... -
A QoE assessment method based on EDA, heart rate and EEG of a virtual reality assistive technology system.
Salgado, Débora Pereira; Martins, Felipe Roque; Rodrigues, Thiago Braga; Keighrey, Conor; Flynn, Ronan; Naves, Eduardo Lázaro Martins; Murray, Niall (ACM, 2018)The1 key aim of various assistive technology (AT) systems is to augment an individual’s functioning whilst supporting an enhanced quality of life (QoL). In recent times, we have seen the emergence of Virtual Reality (VR) ... -
A QoE evaluation of an immersive virtual reality autonomous driving experience.
Gomes, Guilherme Daniel; Flynn, Ronan; Murray, Niall (IEEE, 2020-05-26)The driver/passenger role in autonomous driving experiences is an important subject that is concerned with how these systems will interact and communicate with the human stakeholder. Even though self-driving technologies ... -
Speech intelligibility and quality: a comparative study of speech enhancement algorithms.
Xu, Xiaodong; Flynn, Ronan; Russell, Michael (IEEE, 2017-07)Mobile devices are widely used today for speech communication. The environments in which these devices are used are widely varied and often the level of background noise in the speaker's environment can be significant. The ... -
Type III solar radio burst detection and classification: a deep learning approach
Scully, Jeremiah; Flynn, Ronan; Carley, Eoin; Gallagher, Peter; Daly, Mark (IEEE, 2021-06-10)Solar Radio Bursts (SRBs) are generally observed in dynamic spectra and have five major spectral classes, labelled Type I to Type V depending on their shape and extent in frequency and time. Due to their complex characterization, ...