Results 101 to 110 of about 4,696,743 (282)
A comparison of dynamic naive Bayesian classifiers and hidden Markov models for gesture recognition [PDF]
, 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
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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
openaire +1 more source
How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome
FEBS Letters, EarlyView.In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini +3 more
wiley +1 more source
Real-Time Dynamic Gesture Recognition: A Novel Approach for Efficient Human-Computer Interaction
Acta Electrotechnica et InformaticaDynamic gesture recognition systems face persistent challenges in achieving real-time performance and high recognition efficiency. This paper presents a novel framework integrating computer vision techniques with machine learning algorithms to address ...
Ahmed Mohammed Moyed
doaj +1 more source
Inertial Sensor-Based Touch and Shake Metaphor for Expressive Control of 3D Virtual Avatars
Sensors, 2015 In this paper, we present an inertial sensor-based touch and shake metaphor for expressive control of a 3D virtual avatar in a virtual environment. An intuitive six degrees-of-freedom wireless inertial motion sensor is used as a gesture and motion ...
Shashidhar Patil +3 more
doaj +1 more source
A Depth-based Approach for 3D Dynamic Gesture Recognition
Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, 2015 In this paper we propose a recognition technique of 3D dynamic gesture for human robot interaction (HRI) based on depth information provided by Kinect sensor. The body is tracked using the skeleton algorithm provided by the Kinect SDK. The main idea of this work is to compute the angles of the upper body joints which are active when executing gesture ...
Hajar Hiyadi +4 more
openaire +2 more sources
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Gesture Recognition using Recurrent Neural Networks
, 1991 A gesture recognition method for Japanese sign language is presented. We have developed a posture recognition system using neural networks which could recognize a finger alphabet of 42 symbols.
Hitomi Taguchi, Kouichi Murakami
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Laban movement analysis and hidden Markov models for dynamic 3D gesture recognition
EURASIP Journal on Image and Video Processing, 2017 In this paper, we propose a new approach for body gesture recognition. The body motion features considered quantify a set of Laban Movement Analysis (LMA) concepts.
Arthur Truong, Titus Zaharia
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