Results 81 to 90 of about 66,946 (285)

A Training Gesture-Based-Scroll Visual Artificial Intelligence And Measuring Its Effectiveness Using Hidden-Markov Modeling Methods

Journal of Information Systems and Informatics, 2020
In this article I discuss the method of hand gesture recognition as a visual motion detection based on artificial intelligence by training three main movements namely, scrolling up, scrolling down and stopping based on capturing the front camera image ...
Arif Wibisono
doaj   +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, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Hand Gesture Detection Via Emgucv Canny Pruning

, 2018
{"references": ["H. Birk and T. B Moeslund, \"Recognizing Gestures from the Hand Alphabet Using Principal Component Analysis\", Laboratory of Image Analysis, Aalborg University, Denmark, 1996.", "A. Wilson and A. Bobick, \"Learning visual behavior for gesture analysis,\" In Proceedings of the IEEE Symposium on Computer Vision, Coral Gables, Florida, pp.
N. N. Mosola, S. J. Molete, L. S. Masoebe, M. Letsae   +3 more
openaire   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

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, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning

Scientific Reports
Sign language (SL) is the linguistics of speech and hearing-impaired individuals. The hand gesture is the primary model employed in SL by speech and hearing-challenged people to talk with themselves and ordinary persons.
Mohammed Assiri, Mahmoud M. Selim
doaj   +1 more source

Decreased cold‐sensing function of the transient receptor potential channel TRPM8 from tailed amphibians

FEBS Open Bio, EarlyView.
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao, Daiki Kobayashi, Shogo Hori, Osamu Saitoh   +3 more
wiley   +1 more source

Virtual Mouse using Hand Gesture and Color Detection

International Journal of Computer Applications, 2015
In today‟s technological era, many technologies are evolving day by day. One such promising concept is HumanMachine Interface. For example, in a wired mouse there is no provision to extend limit. In wireless mouse, one should have Bluetooth hardware installed in the computer and Bluetooth dongle attached.
Binitha Chirakattu, Amardip Ghodichor
openaire   +1 more source

Tracking and Classification of In-Air Hand Gesture Based on Thermal Guided Joint Filter

Sensors, 2017
The research on hand gestures has attracted many image processing-related studies, as it intuitively conveys the intention of a human as it pertains to motional meaning. Various sensors have been used to exploit the advantages of different modalities for
Seongwan Kim, Yuseok Ban, Sangyoun Lee
doaj   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham, Sahana Sathyanarayana, Charlotte B. Stewart, Robyn Iredale, Victoria Foster, Debra Galley, Mark Baker, Nicola Pavese   +7 more
wiley   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source