Results 81 to 90 of about 8,063 (296)

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

open access: yesFEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas   +6 more
wiley   +1 more source

Generating 3D product design models in real-time using hand motion and gesture [PDF]

open access: yes, 2010
This thesis was submitted for the degree of Master of Philosophy and awarded by Brunel University.Three dimensional product design models are widely used in conceptual design and in the early stage of prototyping during the design processes.
Orphanides, Stephan
core  

Gesture recognition method integrating multimodal inter-frame motion and shared attention weights

open access: yesDiscover Artificial Intelligence
To improve the accuracy and precision of gesture recognition, this study improves YOLOv5 by incorporating a coordinate attention mechanism and a bidirectional feature pyramid network.
Qiyuan Lu
doaj   +1 more source

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

open access: yesFEBS 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

A comparison of dynamic naive Bayesian classifiers and hidden Markov models for gesture recognition [PDF]

open access: yes, 2011
In this paper we present a study to assess the performance of dynamic naive Bayesian classifiers (DNBCs) versus standard hidden Markov models (HMMs) for gesture recognition. DNBCs incorporate explicit conditional independence among gesture features given
HECTOR HUGO AVILES ARRIAGA   +2 more
core  

Phosphoinositides and inositol phosphates as molecular glues

open access: yesFEBS Letters, EarlyView.
Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry   +9 more
wiley   +1 more source

A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]

open access: yes, 2007
This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core  

A Posteriori Processing Optimization Method for Gesture Interaction in Aseptic Operation Room

open access: yesIEEE Access, 2018
Gesture recognition plays an important role in the applications of human-centered smart technologies. This paper designs a gesture recognition approach in a special human-computer interaction environment.
Lingzhi Yang   +4 more
doaj   +1 more source

Skeleton-Based Dynamic Hand Gesture Recognition Using a Part-Based GRU-RNN for Gesture-Based Interface

open access: yesIEEE Access, 2020
Recent improvements in imaging sensors and computing units have led to the development of a range of image-based human-machine interfaces (HMIs). An important approach in this direction is the use of dynamic hand gestures for a gesture-based interface ...
Seunghyeok Shin, Whoi-Yul Kim
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS 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

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