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Evaluating the user in a sound localisation task in a virtual reality application. [Poster]
(Athlone Institute of Technology, 2020-06)
Virtual reality technology is fast becoming the accepted platform for delivering high quality immersive audio-visual experiences [1]. It has the potential to enable truly personalised experiences due to its adaptability ...
A quality of experience evaluation of augmented reality for procedure assistance and training in Industry 4.0
(Athlone Institute of Technology, 2020-06)
Augmented
Reality ( is a technology that superimposes
computer generated images over the user’s real world view AR is
a key technology to increase worker utility in Industry 4 0 in two
ways training for repeatable ...
A comparative study of machine learning techniques for emotion recognition using peripheral physiological signals
(Athlone Institute of Technology, 2020-06)
Emotions in human produce physical and physiological changes.
Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition
Peripheral ...
Evaluating the user in a sound localisation task in a virtual reality application.
(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 ...
A QoE evaluation of an immersive virtual reality autonomous driving experience.
(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 ...
A QoE evaluation of an immersive virtual reality autonomous driving experience [Poster]
(Athlone Institute of Technology, 2020-06)
At the early stages of adoption, Autonomous Vehicles (AVs) with high automation (SAE level 4 and 5) will share the streets with other road users (i.e. pedestrians, human-driven vehicles, cyclists, etc.) and depend on current ...
A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
(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 ...