Article
Construction & Building Technology
Ting Ren, Ming Qiao, Jon Roberts, Jennifer Hines, Yang-Wai Chow, Wei Zong, Adrian Sugden, Mark Shepherd, Matthew Farrelly, Gareth Kennedy, Faisal Hai, Willy Susilo
Summary: Long-term exposure to coal and silica dust during underground tunnelling operations is a growing concern. To bridge the gap between knowledge in dust exposure monitoring and frontline workers, a virtual reality educational tool was developed to visualize ventilation and dust flow characteristics. This tool allows workers to better understand decision-making and best practices for dust controls.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Engineering, Biomedical
Nicolas Wenk, Mirjam Jordi, Karin A. Buetler, Laura Marchal-Crespo
Summary: Combining immersive virtual reality with robotic devices can enhance neurorehabilitation, but the design of virtual environments when interacting with rehabilitation robots is still an open question. This study investigated the effects of visuo-haptic sensory conflict on motivation, embodiment, and presence. The results showed that the visibility of the robot did not affect participants' motivation, presence, embodiment, or task performance. However, robotic assistance hampered presence and embodiment, but improved motivation.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Computer Science, Information Systems
Tarik Taleb, Nassim Sehad, Zinelaabidine Nadir, Jaeseung Song
Summary: The management of remote services, such as remote surgery, remote sensing, or remote driving, is becoming increasingly important with the advancement of 5G and Beyond 5G technologies. However, the strict network requirements for these services pose challenges in their deployment. This article addresses issues in the remote and immersive control of VR-based UAVs and presents a real-life testbed system using VR, 360 degrees video streaming, and edge computing to evaluate these requirements.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Psychology, Multidisciplinary
Isabelle Verhulst, Andy Woods, Laryssa Whittaker, James Bennett, Polly Dalton
Summary: A study compared user experiences of Virtual Reality (VR) and Augmented Reality (AR) devices, finding that VR devices scored higher in enjoyment, presence, and realism aspects compared to AR devices.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Biochemical Research Methods
Leon Weber, Mario Saenger, Jannes Munchmeyer, Maryam Habibi, Ulf Leser, Alan Akbik
Summary: Named entity recognition (NER) is a crucial step in biomedical information extraction, and HunFlair, a NER tagger integrated into the Flair NLP framework, achieves high accuracy and robustness through a character-level language model pretraining.
Article
Computer Science, Cybernetics
Joni Salminen, Soon-Gyo Jung, Shammur Chowdhury, Dianne Ramirez Robillos, Bernard Jansen
Summary: The research demonstrates that data-driven personas have a significant impact on changing decision makers' preconceptions about users. The study found that 81% of participants changed their perceptions of the audience after interacting with personas, and 94% maintained or improved the accuracy of their perceptions. Personas can be used to alter decision makers' preconceptions about users, improving their understanding and confidence in user data.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2021)
Article
Engineering, Biomedical
Mehran Emadi Andani, Zahra Salehi
Summary: Arthritis, a common condition affecting millions of people worldwide, can be challenging to diagnose accurately. This study introduces a novel machine learning-based approach using sound signals to detect knee osteoarthritis, offering high accuracy, speed, and affordability compared to traditional methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Chemistry, Multidisciplinary
Mai Geisen, Alexandra Fox, Stefanie Klatt
Summary: This article examines the application of a VR-based rotation task in an extracurricular dance class, focusing on the importance of didactic, collaborative, and perceptual components of dance training. Testing and using suitable learning tools and methods can create conducive learning environments for skill acquisition. Virtual Reality (VR) as part of the Extended Reality (XR) domain is an innovative tool that allows learning in immersive and specially designed environments, making it particularly suitable for learning in (sports-)motor contexts. The study identifies integrative potentials of this innovative tool in sports education, especially in extracurricular dance classes, through feedback sessions and direct observation.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Interdisciplinary Applications
Chen-Yu Kuo, Chun-Chi Huang, Chih-Hsuan Tsai, Yun-Shuo Shi, Shana Smith
Summary: An immersive SLAM-based VR system was developed for remote robot operation in unknown environments. The system allows users to control the remote robot using a virtual copy of the actual robot in a 3D reconstructed environment, with added visual aids for guidance. The system showed higher grasping success rate and lower operation time compared to traditional video-based teleoperation.
COMPUTERS IN INDUSTRY
(2021)
Article
Biochemistry & Molecular Biology
Huan Qi, Xiaokun Guo, Tianpeng Wang, Ziding Zhang
Summary: In this study, a bioinformatics tool named ASTool was developed for detecting AS events from plant RNA-Seq data. ASTool demonstrated good performance and competitive computational speed, providing consistent detection results in simulated and real plant RNA-Seq data.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Multidisciplinary Sciences
Nicolo Tonachella, Arianna Martini, Marco Martinoli, Domitilla Pulcini, Andrea Romano, Fabrizio Capoccioni
Summary: This study explores a non-invasive approach to fish measurement through computer vision, using image processing and linear models for measuring fish length and predicting body weight. This method allows for fast, accurate, and low-cost measurement of fish biometrics.
SCIENTIFIC REPORTS
(2022)
Article
Biotechnology & Applied Microbiology
Eliska Chalupova, Ondrej Vaculik, Jakub Polacek, Filip Jozefov, Tomas Majtner, Panagiotis Alexiou
Summary: As the role of DL in big data analysis in the near future is indisputable, it is important to make it available for a broader range of researchers. We believe that an easy-to-use tool such as ENNGene can allow Genomics researchers without a background in Computational Sciences to harness the power of DL to gain better insights into and extract important information from the large amounts of data available in the field.
Article
Robotics
Zeyu Zhang, Ziyuan Jiao, Weiqi Wang, Yixin Zhu, Song-Chun Zhu, Hangxin Liu
Summary: We propose a robot learning and planning framework that can handle different objects from training and produce an effective tool-use strategy with minimal joint efforts. By leveraging a simulator based on the Finite Element Method (FEM), which replicates fine-grained visual and physical effects, we identify the essential physical properties contributing to these effects using the proposed Iterative Deepening Symbolic Regression (IDSR) algorithm. We also devise an optimal control-based motion planning scheme that integrates robot- and tool-specific kinematics and dynamics to generate an effective trajectory.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Biochemical Research Methods
Weiming He, Jian Yang, Yi Jing, Lian Xu, Kang Yu, Xiaodong Fang
Summary: Large-scale comparative genomic studies have led to the need for efficient visualization tools to capture key information hidden in vast amounts of data. NGenomeSyn is an easy-to-use and flexible layout tool that allows users to visualize syntenic relationships and genomic features across multiple genomes. It provides a rich layout by adjusting options for moving, scaling, and rotating target genomes.
Article
Education & Educational Research
Xinhao Xu, Fang Wang
Summary: This study introduces an immersive virtual reality lab training environment for college students, offering an immersive and embodied experience in engineering lab work. Results show positive learning effects, achievement levels, and embodied experiences among students. Additionally, the study investigates the relationship between students' cognitive load and their embodied experiences.
JOURNAL OF EDUCATIONAL COMPUTING RESEARCH
(2022)
