Mixed reality participants in smart meeting rooms and smart home environments [PDF]
, 2007 Human–computer interaction requires modeling of the user. A user profile typically contains preferences, interests, characteristics, and interaction behavior.
Anton Nijholt, Job Zwiers, Jan Pečiva
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Exploring the Extension of Virtual Reality beyond the Five Senses: A Study on Human Aura Detection
Applied Sciences, 2023 The realm of virtual reality, primarily dominated by visual experiences, stands at the cusp of a paradigm shift [...]
Adrian David Cheok, George Karolyi
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Computer model of a spectrum analyzer for a virtual laboratory: development and introduction to the educational process [PDF]
PeerJ Computer Science, 2022 The worldwide COVID-19 pandemic has changed the development plans of every country. Instead, governments had to constantly deal with ever-emerging issues in healthcare, education, economics and industry.
Dmitry Gubsky +4 more
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Human Activity Recognition via Hybrid Deep Learning Based Model
Sensors, 2022 In recent years, Human Activity Recognition (HAR) has become one of the most important research topics in the domains of health and human-machine interaction.
Imran Ullah Khan +2 more
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Viewpoint-Controllable Telepresence: A Robotic-Arm-Based Mixed-Reality Telecollaboration System
Sensors, 2023 In mixed-reality (MR) telecollaboration, the local environment is remotely presented to a remote user wearing a virtual reality (VR) head-mounted display (HMD) via a video capture device.
Le Luo +4 more
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Frontiers in Computer Science, 2023 IntroductionThe days of dusty couches in therapists' offices behind closed doors are long gone. Now, personalized mood tracking, therapy appointments and breathing exercises are just mere clicks (or taps) away: Technologies for self-care (SCTs) that ...
Velvet Spors +4 more
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DLNR-SIQA: Deep Learning-Based No-Reference Stitched Image Quality Assessment
Sensors, 2020 Due to recent advancements in virtual reality (VR) and augmented reality (AR), the demand for high quality immersive contents is a primary concern for production companies and consumers. Similarly, the topical record-breaking performance of deep learning
Hayat Ullah +3 more
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Methods for evaluating the adoption and use of digital technologies in GLAMs
MethodsX, 2020 This article provides a method from which the breadth of adoption and use of digital technologies may be evaluated. Whilst the method can be used for individual devices, it was designed as a means for understanding the well-being of all devices within a ...
Eugene Ch’ng, Shengdan Cai
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Transfer Learning-Driven Hourly PM2.5 Prediction Based on a Modified Hybrid Deep Learning
IEEE Access, 2023 Haze is a major problem in China’s air pollution, which not only hinders economic development, but also causes harm to people’s health. PM2.5 (fine particulate matter) is the primary cause of haze.
Junzi Yang +4 more
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Measuring Internet Meme engagement and individual differences: a novel scale and its correlates
International Journal of Population Data Science, 2023 Introduction & Background Internet Memes (IMs) are social, digital artefacts that act as information vectors on social networking sites. Memetic scholarly literature has mainly focused on analysing IMs content with mixed methods.
Giovanni Schiazza
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