Sensors are becoming ubiquitous in all areas of science, technology, and society. In this Special Issue on "Sensors for Entertainment", developments in progress and the current state of application scenarios for sensors in the field of entertainment is explored.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970147 | PMC |
| http://dx.doi.org/10.3390/s16071102 | DOI Listing |
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Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos.
Sensors (Basel)
December 2024
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China.
This article investigates the impact of visual color perception on fine-grained emotion prediction in videos, analyzing the contribution of color perception features in fine-grained emotion prediction. A total of 20 subjects were involved in this experiment. First, 10 subjects conducted a fine-grained emotional subjective evaluation experiment on 50 video clips.
View Article and Find Full Text PDFARMNet: A Network for Image Dimensional Emotion Prediction Based on Affective Region Extraction and Multi-Channel Fusion.
Sensors (Basel)
November 2024
Key Laboratory of Acoustic Visual Technology and Intelligent Control System, Ministry of Culture and Tourism, Communication University of China, Beijing 100024, China.
Compared with discrete emotion space, image emotion analysis based on dimensional emotion space can more accurately represent fine-grained emotion. Meanwhile, this high-precision representation of emotion requires dimensional emotion prediction methods to sense and capture emotional information in images as accurately and richly as possible. However, the existing methods mainly focus on emotion recognition by extracting the emotional regions where salient objects are located while ignoring the joint influence of objects and background on emotion.
View Article and Find Full Text PDFPlayer Experience Evaluation in Game-Based Systems for Older Adults.
Sensors (Basel)
September 2024
Departamento de Sistemas e Informática, Facultad de Ingenierías, Universidad de Caldas, Calle 65 # 26-10, Edificio del Parque, Manizales 170004, Colombia.
Significant efforts are currently being made to improve the quality of life of the older adult population. These efforts focus on aspects such as health, social interaction, and mental health. One of the approaches that has shown positive results in several studies is the application of game-based systems.
View Article and Find Full Text PDFA Multilayer Architecture towards the Development and Distribution of Multimodal Interface Applications on the Edge.
Sensors (Basel)
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Faculty of Engineering, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
Today, Smart Assistants (SAs) are supported by significantly improved Natural Language Processing (NLP) and Natural Language Understanding (NLU) engines as well as AI-enabled decision support, enabling efficient information communication, easy appliance/device control, and seamless access to entertainment services, among others. In fact, an increasing number of modern households are being equipped with SAs, which promise to enhance user experience in the context of smart environments through verbal interaction. Currently, the market in SAs is dominated by products manufactured by technology giants that provide well designed off-the-shelf solutions.
View Article and Find Full Text PDFComparative Analysis of Mixed Reality and PowerPoint in Education: Tailoring Learning Approaches to Cognitive Profiles.
Sensors (Basel)
August 2024
Faculty of Medicine, Lucian Blaga University of Sibiu, 550024 Sibiu, Romania.
The term immersive technology refers to various types of technologies and perspectives that are constantly changing and developing. It can be used for different purposes and domains such as education, healthcare, entertainment, arts, and engineering. This paper aims to compare the effectiveness of immersive technologies used in education, namely mixed reality, generated with Microsoft HoloLens 2, with traditional teaching methods.
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