Results 111 to 120 of about 8,003 (296)
Vision-based manipulative gesture recognition in a human-robot interaction scenario
, 2008 Li Z. Vision-based manipulative gesture recognition in a human-robot interaction scenario. Bielefeld (Germany): Bielefeld University; 2008.Nowadays, many people are expecting an age of personal robots just as what happened in the evolution of computers ...
Li, Zhe
core
Retracted: Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition [PDF]
, 2012 This paper is concerned with the recognition of dynamic hand gestures. A method based on Hidden Markov Models HMMs is presented for dynamic gesture trajectory modeling and recognition.
CATTANI, Carlo +4 more
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Design of Human–Computer Interaction Gesture Tracking Model Based on Improved PSO and KCF Algorithms
IEEE AccessThe detection and tracking of gesture targets is an important aspect in the dynamic gesture recognition. To meet the accuracy and speed requirements of human-computer interaction for dynamic gesture recognition, this study explores long-term gesture ...
Dinghua He, Yan Yang, Rangzhong Wu
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Artificial Intelligence in Recognition of Dynamic Gestures
Современные информационные технологии и IT-образование, 2020 The development of effective methods for recognizing human hand gestures is an urgent task, both from a scientific and an applied point of view. Gesture recognition methods are the basis of contactless interfaces for managing technical systems. The most significant areas of application of gesture recognition systems are automatic sign language ...
Yevgeniy Muratov +2 more
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Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
, 2004 Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source