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Now showing items 61-70 of 70
Comparing user QoE via physiological and interaction measurements of immersive AR and VR speech and language therapy applications
(Athlone Institute of Technology, 2018-04-24)
Virtual reality (VR) and augmented reality (AR) applications are gaining significant attention in industry and academia as potential avenues to support truly immersive and interactive multimedia experiences. Understanding ...
A novel mixed methods approach to synthesize EDA data with behavioral data to gain educational insight
(MDPI, 2020-11-30)
Whilst investigating student performance in design and arithmetic tasks, as well as during
exams, electrodermal activity (EDA)-based sensors have been used in attempts to understand
cognitive function and cognitive load. ...
PIoT: Programmable IoT using Information Centric Networking.
(IEEE, 2016)
The Internet of Things (IoT) places significant
demands on network infrastructure in order to process data
captured by ubiquitous sensor devices. One existing technique to
support this sensor data processing involves ...
Continuous affect prediction using eye gaze and speech.
(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 ...
A quality of experience evaluation of example versus procedural instruction formats for augmented reality based procedure training
(TUS Midlands Midwest, 2022)
Augmented reality (AR) is a technology that can enhance the user’s world view with computer
generated information.
This information can take the form of the domain-specific instructions required for successful
completion ...
Application of immersive technologies for education: state of the art.
(IEEE, 2015-11)
Existing multimedia systems used in education mostly address only two senses by using two communication channels (visual and audio) of the five human senses (sight, hearing, taste, smell, and touch), limiting the potential ...
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 ...
ECE: Exactly-Once-Computation for Collaborative Edge in IoT using Information Centric Networking
(IEEE, 2023-05-11)
—Exactly-once data processing/delivery can be
guaranteed in traditional big data processing systems, e.g.
Apache Flink. Checkpoint is commonly used as the solution.
Each operator in these systems can restart from the ...
Perceived factors informing the pre-acceptability of digital health innovation by again respiratory patients: a case study from the Republic of Ireland
(Frontiers, 2023-10-24)
It is appreciated that digital health is increasing in interest as an important
area for efficiently standardizing and developing health services in Ireland,
and worldwide. However, digital health is still considered to ...
Applications of Digital Twin across industries: a review
(MDPI, 2022-06-14)
One of the most promising technologies that is driving digitalization in several industries is
Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What
differentiates DT ...