Results 51 to 60 of about 4,397,311 (276)
Dynamic gesture recognition based on feature fusion network and variant ConvLSTM
IET Image Processing, 2020 Gesture is a natural form of human communication, and it is of great significance in human–computer interaction. In the dynamic gesture recognition method based on deep learning, the key is to obtain comprehensive gesture feature information.
Yuqing Peng +4 more
doaj +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
Instant 3D design concept generation and visualization by real-time hand gesture recognition [PDF]
, 2013 3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle.
Wright, David +9 more
core +1 more source
A Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors
Advanced Sensor Research, 2023 Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand is relatively smaller, with very complex articulations than the entire human body.
Shengshun Duan +6 more
doaj +1 more source
Vietnam Journal of Computer Science, 2023 Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le +8 more
doaj +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Sensors, 2020 Dynamic hand gesture recognition is one of the most significant tools for human–computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Linchu Yang, Ji’an Chen, Weihang Zhu
doaj +1 more source
Improvement of Continuous Dynamic Programming for Human Gesture Recognition
Transactions of the Institute of Systems, Control and Information Engineers, 2001 This paper describes an improved continuous dynamic programming (CDP) for human gesture recognition. In order to cope with the variation in the amplitude of the input signal, a reference pattern set containing patterns with different mean amplitudes is used instead of a single reference pattern.
WU, Haiyuan +2 more
openaire +2 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
IEEE Access, 2020 Hand gesture recognition is an attractive research field with a wide range of applications, including video games and telesurgery techniques. Another important application of hand gesture recognition is the translation of sign language, which is a ...
Muneer Al-Hammadi +7 more
doaj +1 more source