Results 51 to 60 of about 4,696,743 (282)

A Transformer-Based Network for Dynamic Hand Gesture Recognition [PDF]

2020 International Conference on 3D Vision (3DV), 2020
Transformer-based neural networks represent a successful self-attention mechanism that achieves state-of-the-art results in language understanding and sequence modeling. However, their application to visual data and, in particular, to the dynamic hand gesture recognition task has not yet been deeply investigated. In this paper, we propose a transformer-
Andrea D’Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara   +5 more
openaire   +3 more sources

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

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, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

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, Huifang Tao, Wei Li, Hongtao Yuan, Tiejun Li   +4 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition [PDF]

, 2019
Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces.
Perera, Asanka G., Chahl, Javaan, Asanka G. Perera, Perera, A.G., Yee Wei Law, Chahl, J., Javaan Chahl, Law, Yee Wei, Law, Y.W.   +8 more
core   +1 more source

Dynamic Hand Gesture Recognition Using the Skeleton of the Hand [PDF]

EURASIP Journal on Advances in Signal Processing, 2005
This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space, guiding some robots to perform certain tasks in a hostile environment, or interacting with computers.
Ionescu, Bogdan, Coquin, Didier, Lambert, P., Buzuloiu, Vasile   +3 more
openaire   +5 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +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, Fangzhi Zhao, Huiying Yang, Jianlong Hong, Qiongfeng Shi, Wei Lei, Jun Wu   +6 more
doaj   +1 more source

Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking

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, Hoang-Nhat Tran, Phuong-Dung Nguyen, Hong-Quan Nguyen, Thuy-Binh Nguyen, Thanh-Hai Tran, Hai Vu, Thi-Thao Tran, Thi-Lan Le   +8 more
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, KIDO, Ryutaro, SHIOYAMA, Tadayoshi   +2 more
openaire   +2 more sources