Výsledky vyhľadávania - "Gesture Recognition in Human-Computer Interaction"

FEW-SHOT LEARNING WITH PRE-TRAINED LAYERS INTEGRATION APPLIED TO HAND GESTURE RECOGNITION FOR DISABLED PEOPLE

Autori: Mohamed Elbahri Nasreddine Taleb Sid Ahmed El Mehdi ARDJOUN a ďalší

Zdroj: Applied Computer Science, Vol 20, Iss 2 (2024)

Predmety: Artificial intelligence, Feature (linguistics), Gesture Recognition, Social Sciences, Extractor, Information technology, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), Leverage (statistics), Gesture recognition, Gesture, Engineering, Developmental and Educational Psychology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, few-shot learning, 10. No inequality, CNN segmentation, 4. Education, Detector, Linguistics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Human-Computer Interaction, FOS: Psychology, Continuous Recognition, Philosophy, Gesture Recognition in Human-Computer Interaction, Action Recognition, Electronic computers. Computer science, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, Telecommunications, FOS: Languages and literature, Feature extraction, Process engineering, Acquisition and Development of Sign Language, Computer vision, hand gesture, disabled people, Computer Vision and Pattern Recognition, Classifier (UML), Hand Gesture

Prístupová URL adresa: https://doaj.org/article/08ebec84c9ff4ebc990cbe73f4ab829d

Rotation Invariant Technique for Sign Language Recognition

Autori: Mohamed T. Dardoh Al-Obaidi Ali Mohammed Sahan Ali Sami Al-Itbi

Zdroj: InfoTech Spectrum: Iraqi Journal of Data Science. :16-26

Predmety: Cross-View Recognition, Artificial intelligence, Gesture Recognition, Biomedical Engineering, Gait Recognition, Speech recognition, FOS: Medical engineering, Mathematical analysis, Sign Language, American Sign Language, Engineering, FOS: Mathematics, Sign language, Human–computer interaction, Natural language processing, 4. Education, Linguistics, Invariant (physics), Computer science, Contourlet, FOS: Philosophy, ethics and religion, Human-Computer Interaction, Gait Recognition for Human Identification, Continuous Recognition, Philosophy, Gesture Recognition in Human-Computer Interaction, Assistive technology, Sign (mathematics), Mathematical physics, Computer Science, Physical Sciences, FOS: Languages and literature, Wavelet transform, Computer Vision and Pattern Recognition, Digital Video Stabilization Techniques, Wavelet, Mathematics

TAQWA: Teaching Adolescents Quality Wadhu/Ablution Contactlessly using Deep Learning

Autori: Hira Hameed Lubna Lubna Nour Ghadban a ďalší

Zdroj: 2023 6th International Conference on Signal Processing and Information Security (ICSPIS). :77-81

Predmety: Risk, video sequences, Artificial intelligence, Face (sociological concept), lighting, Computer Networks and Communications, Biomedical Engineering, privacy, FOS: Medical engineering, 7. Clean energy, Wireless Indoor Localization Techniques and Systems, Engineering, Sociology, Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, WiFi Fingerprinting, Electrical and Electronic Engineering, 10. No inequality, training, micro-Doppler signatures, 4. Education, Hand gesture, deep learning, Deep learning, radio frequency, Social science, Computer science, RF sensing, Computer Science Applications, FOS: Sociology, Programming language, 3. Good health, Human-Computer Interaction, Gait Recognition for Human Identification, Gesture Recognition in Human-Computer Interaction, Categorization, Reliability and Quality, Signal Processing, Computer Science, Physical Sciences, Safety, Comprehension, signal processing algorithms, Information Systems

Prístupová URL adresa: https://researchonline.gcu.ac.uk/en/publications/abcfd458-39f5-4238-878d-d53bd5924427
https://doi.org/10.1109/ICSPIS60075.2023.10343835

A comprehensive analysis of gesture recognition systems: Advancements, challenges, and future direct

Autori: S. Li L. Zhou Mingshuai Fan a ďalší

Zdroj: Applied and Computational Engineering. 43:68-75

Predmety: Artificial intelligence, Gesture Recognition, Biomedical Engineering, 15. Life on land, FOS: Medical engineering, Computer science, 7. Clean energy, Human-Computer Interaction, Gesture recognition, Gait Recognition for Human Identification, Continuous Recognition, Gesture, Gesture Recognition in Human-Computer Interaction, Engineering, Computer Science, Physical Sciences, Hand Gesture

Translation from spoken Arabic digits to sign language based on deep learning approach

Autori: Mothanna Almahmood Sayel Abualigah Rehab Duwairi a ďalší

Zdroj: Applied and Computational Engineering. 30:25-31

Predmety: Artificial intelligence, Gesture Recognition, Translation (biology), Speech recognition, Mathematical analysis, Biochemistry, Gene, 7. Clean energy, Sign Language, Artificial Intelligence, FOS: Mathematics, Sign language, 10. No inequality, Development and Application of Expert Systems, Arabic, Natural language processing, Messenger RNA, 4. Education, Linguistics, 15. Life on land, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Human-Computer Interaction, Continuous Recognition, Philosophy, Chemistry, Gesture Recognition in Human-Computer Interaction, 13. Climate action, Sign (mathematics), Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Control the robot arm through vision-based human hand tracking

Autori: Le Hoai Phuong Vo Duy Cong

Zdroj: FME Transactions, Vol 52, Iss 1, Pp 37-44 (2024)

Predmety: Artificial intelligence, Robot, Gesture Recognition, 02 engineering and technology, 01 natural sciences, 7. Clean energy, computer vision, Robotic arm, Engineering, Tracking (education), 0202 electrical engineering, electronic engineering, information engineering, Eye Tracking in Human-Computer Interaction, Psychology, hand tracking, Robotic Grasping and Learning from Demonstration, Pedagogy, 4. Education, Mechanics of engineering. Applied mechanics, Eye Tracking, TA349-359, 15. Life on land, Engineering (General). Civil engineering (General), Computer science, 0104 chemical sciences, Human-Computer Interaction, FOS: Psychology, arduino, Human-Robot Collaboration, Gesture Recognition in Human-Computer Interaction, Robotic hand, Control and Systems Engineering, Head Gesture Recognition, Computer Science, Physical Sciences, Computer vision, TA1-2040, mediapipe, scara robot, Hand Gesture

Prístupová URL adresa: https://doaj.org/article/86e9057037c14956b5f3870d1e12a1c7

A real-time air-writing model to recognize Bengali characters

Autori: Mohammed Abdul Kader Muhammad Ahsan Ullah Md. Saiful Islam a ďalší

Zdroj: AIMS Mathematics, Vol 9, Iss 3, Pp 6668-6698 (2024)

Predmety: Artificial intelligence, Support vector machine, Data set, Character (mathematics), Feature (linguistics), Geometry, Set (abstract data type), 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Scene Text Recognition, human-computer interaction, Automated Analysis of Blood Cell Images, Text Localization, Machine learning, 11. Sustainability, bengali character, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Bengali, hand gestures, Text Detection, Motion (physics), Natural language processing, 4. Education, air-writing, Linguistics, 15. Life on land, Computer science, FOS: Philosophy, ethics and religion, Programming language, Human-Computer Interaction, Philosophy, machine learning, Gesture Recognition in Human-Computer Interaction, 13. Climate action, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, FOS: Languages and literature, Computer Vision and Pattern Recognition, Mathematics, Handwriting Recognition

Prístupová URL adresa: https://doaj.org/article/3b31ef21789743e4a5ae075d30f43b7e

Mordo2: A Personalization Framework for Silent Command Recognition

Autori: Chunzhi Yi Baichun Wei Jianfei Zhu a ďalší

Zdroj: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 133-143 (2024)

Predmety: Real-time Tracking, Artificial intelligence, Gesture Recognition, user adaptation, Facial Muscles, RM1-950, Speech recognition, Leverage (statistics), 7. Clean energy, Transfer of learning, Machine learning, Medical technology, Humans, Eye Tracking in Human-Computer Interaction, R855-855.5, Speech Enhancement Techniques, Audio-Visual Speech Recognition, Embedded system, Personalization, Adaptation (eye), Human–computer interaction, Physics, Wearable technology, Eye Tracking, Wearable computer, Optics, EMG signals, Computer science, Human-Computer Interaction, World Wide Web, Gesture Recognition in Human-Computer Interaction, silent command recognition, Head Gesture Recognition, Computer Science, Physical Sciences, Signal Processing, Therapeutics. Pharmacology, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38090845
https://doaj.org/article/4eb07ac8074d46618444ed6501e61d75

Machine learning-enhanced gesture recognition through impedance signal analysis

Autori: Hoang Nhut Huynh Quoc Tuan Nguyen Diep Minh Quan Cao Dinh a ďalší

Zdroj: J Electr Bioimpedance
Journal of Electrical Bioimpedance, Vol 15, Iss 1, Pp 63-74 (2024)

Predmety: Medicine (General), Artificial intelligence, Support vector machine, Kinect Sensor, bio-impedance, Non-contact Physiological Monitoring Technology, Gesture Recognition, Robustness (evolution), Biomedical Engineering, 02 engineering and technology, Boosting (machine learning), FOS: Medical engineering, Pattern recognition (psychology), 01 natural sciences, Biochemistry, Gene, 7. Clean energy, Article, Gesture recognition, Gesture, R5-920, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Biology, Sensory Feedback, Naive Bayes classifier, Ecology, gesture recognition, 4. Education, 15. Life on land, 16. Peace & justice, Computer science, Human-Computer Interaction, Adaptability, Continuous Recognition, Chemistry, machine learning, Gesture Recognition in Human-Computer Interaction, Analysis of Electromyography Signal Processing, FOS: Biological sciences, Computer Science, Physical Sciences, impedance signal spectrum analysis (issa), Hand Gesture, Random forest

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38863504
https://doaj.org/article/c37c761b70b74a46bf684b8ac924f8e7

Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models

Autori: Qanita Bani Baker Nour Alqudah Tibra Alsmadi a ďalší

Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)

Predmety: Cross-View Recognition, Artificial neural network, Artificial intelligence, Gesture Recognition, Robustness (evolution), Biomedical Engineering, Social Sciences, Overfitting, Convolutional neural network, 02 engineering and technology, Speech recognition, FOS: Medical engineering, Biochemistry, Gene, Sign Language, Engineering, Developmental and Educational Psychology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Sign language, 10. No inequality, Language Acquisition, Arabic, Natural language processing, 4. Education, Linguistics, QA75.5-76.95, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Human-Computer Interaction, FOS: Psychology, Gait Recognition for Human Identification, Continuous Recognition, Philosophy, Chemistry, Gesture Recognition in Human-Computer Interaction, Electronic computers. Computer science, Computer Science, Physical Sciences, FOS: Languages and literature, Acquisition and Development of Sign Language

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Prístupová URL adresa: https://doaj.org/article/85c6ea499a1f48b3a14b95acc64bc9e1

Point Cloud Deep Learning Solution for Hand Gesture Recognition

Autori: César Osimani Juan Jesus Ojeda-Castelo José A. Piedra-Fernández

Zdroj: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universidad Internacional de La Rioja (UNIR)

Predmety: Artificial intelligence, Gesture Recognition, Geometry, computer vision, Data science, Gesture recognition, Gesture, Deep Learning, Point (geometry), FOS: Mathematics, Cloud computing, IJIMAI, Computer science, Human-Computer Interaction, Point cloud, Continuous Recognition, Operating system, Gesture Recognition in Human-Computer Interaction, Computer Science, Physical Sciences, hand gesture, artificial neural networks, Hand Gesture, Mathematics, point cloud

Prístupová URL adresa: https://reunir.unir.net/handle/123456789/14309
https://doi.org/10.9781/ijimai.2023.01.001
https://reunir.unir.net/handle/123456789/14309

Recognition of Bangladeshi Sign Language (BdSL) Words using Deep Convolutional Neural Networks (DCNNs)

Autori: Aminul Haque Rishad Amin Pulok Md Mizanur Rahman a ďalší

Zdroj: Emerging Science Journal, Vol 7, Iss 6, Pp 2183-2201 (2023)

Predmety: Artificial intelligence, Bridge (graph theory), Social Sciences, mobilenet-v2, Sign Language, Gesture, Transfer of learning, Sociology, Developmental and Educational Psychology, sign language, Psychology, 10. No inequality, Internal medicine, Human–computer interaction, bdsl, 4. Education, FOS: Philosophy, ethics and religion, FOS: Sociology, Programming language, 3. Good health, Social sciences (General), FOS: Psychology, Continuous Recognition, Gesture Recognition in Human-Computer Interaction, Sign (mathematics), Physical Sciences, 8. Economic growth, Medicine, Interpreter, Face (sociological concept), Population, Convolutional neural network, Speech recognition, Mathematical analysis, densenet201, Gesture recognition, American Sign Language, image processing, FOS: Mathematics, T1-995, Sign language, Technology (General), cnn, Demography, H1-99, Natural language processing, resnet50-v2, deep learning, Linguistics, Computer science, Human-Computer Interaction, Philosophy, Computer Science, FOS: Languages and literature, Acquisition and Development of Sign Language, Mathematics

Prístupová URL adresa: https://doaj.org/article/6fe30fa7c1104d059b61985e4bceb925

Voice and Gesture Controlled D.C. Motor Fan’s Rotational Speed and Direction

Autori: Samuel Okari Omweno Ketui Daniel Calford Otieno

Zdroj: European Journal of Electrical Engineering and Computer Science. 7:1-6

Predmety: Wireless Home Automation Systems, Artificial intelligence, Rotational speed, Gesture Recognition, FOS: Mechanical engineering, 7. Clean energy, Gesture recognition, Gesture, Engineering, Porting, FOS: Electrical engineering, electronic engineering, information engineering, Arduino, Electrical and Electronic Engineering, Work (physics), Embedded system, 1. No poverty, Applications of Programmable Logic Controllers (PLCs), Computer science, Mechanical engineering, Human-Computer Interaction, Operating system, Gesture Recognition in Human-Computer Interaction, Control and Systems Engineering, Physical Sciences, Computer Science, Software

Hand Gesture Recognition System based on 60 GHz FMCW Radar and Deep Neural Network

Autori: Daswini Nadar Samreen Anjum K.C. Sriharipriya

Zdroj: International Journal of Electrical and Electronics Research. 11:760-765

Predmety: Artificial intelligence, Non-contact Physiological Monitoring Technology, Gesture Recognition, Biomedical Engineering, Depth Sensor, Aerospace Engineering, FOS: Mechanical engineering, Convolutional neural network, 02 engineering and technology, Noise (video), Speech recognition, FOS: Medical engineering, Gesture recognition, Gesture, Engineering, Synthetic Aperture Radar (SAR) Technology and Applications, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Doppler Radar, Radar, Motion (physics), 4. Education, 16. Peace & justice, Computer science, Human-Computer Interaction, Continuous Recognition, Gesture Recognition in Human-Computer Interaction, Computer Science, Physical Sciences, Telecommunications, Computer vision, Hand Gesture

An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition

Autori: Seetharam Khetavath Navalpur Chinnappan Sendhilkumar P. Mukunthan a ďalší

Zdroj: Big Data Mining and Analytics, Vol 6, Iss 3, Pp 321-335 (2023)

Predmety: Wireless Home Automation Systems, Artificial intelligence, Gesture Recognition, morphological operations, Word error rate, Heuristic, Pattern recognition (psychology), Gesture recognition, Sign Language, Gesture, Engineering, Segmentation, Artificial Intelligence, heuristic manta-ray foraging optimization (hmfo), Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, Image segmentation, QA75.5-76.95, 15. Life on land, Computer science, hand gesture recognition, adaptive extreme learning machine (aelm), Human-Computer Interaction, Continuous Recognition, Gesture Recognition in Human-Computer Interaction, Electronic computers. Computer science, multifaceted feature extraction (mfe) model, Computer Science, Physical Sciences, Computer vision, skin color detection, Hand Gesture

Prístupová URL adresa: https://doaj.org/article/2e387370e65c4f45af145fbc88033f1e

Integrated Mediapipe with a CNN Model for Arabic Sign Language Recognition

Autori: Ahmad M. J. AL Moustafa Mohd. Shafry Mohd. Rahim Belgacem Bouallègue a ďalší

Zdroj: Journal of Electrical and Computer Engineering, Vol 2023 (2023)

Predmety: Computer engineering. Computer hardware, Artificial intelligence, Gesture Recognition, Biomedical Engineering, Social Sciences, Convolutional neural network, 02 engineering and technology, Speech recognition, FOS: Medical engineering, Pattern recognition (psychology), Mathematical analysis, TK7885-7895, Sign Language, Arabic numerals, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Developmental and Educational Psychology, FOS: Mathematics, Psychology, Alphabet, Sign language, Language Acquisition, Arabic, Natural language processing, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Human-Computer Interaction, FOS: Psychology, Gait Recognition for Human Identification, Continuous Recognition, Philosophy, Gesture Recognition in Human-Computer Interaction, Sign (mathematics), Computer Science, Physical Sciences, FOS: Languages and literature, Acquisition and Development of Sign Language, Mathematics

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Prístupová URL adresa: https://doaj.org/article/59a6ef7ad6cd41c8a41356804fe8c48f

Non-Human Recognition of Orthography: How is it implemented and how does it differ from Human orthographic processing

Autori: Benjamin Gagl Ivonne Weyers Susanne Eisenhauer a ďalší

Predmety: Computational Neuroscience, 2. Zero hunger, Artificial intelligence, Natural language processing, Gesture Recognition, Behavior and cognition, Orthographic projection, Linguistics, Speech recognition, 15. Life on land, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, Human-Computer Interaction, Continuous Recognition, Philosophy, Gesture Recognition in Human-Computer Interaction, Reading (process), Computer Science, Physical Sciences, FOS: Languages and literature, 14. Life underwater, 10. No inequality, Orthography

Resource-Efficient Deep Learning: Fast Hand Gestures on Microcontrollers

Autori: Thomas Mach Khai Nguyen Van Minhhuy Le

Zdroj: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 11, Iss 3 (2024)

Predmety: Computer engineering. Computer hardware, Artificial intelligence, Microcontroller, Cognitive Neuroscience, Gesture Recognition, Resource (disambiguation), Systems engineering, TK7885-7895, Embedded, TA168, Gesture, Tangible User Interfaces in Human-Computer Interaction, Deep Learning, User-defined Gestures, Embedded system, Multi-touch Sensing, Intelligent system, TinyML, Computer network, Human–computer interaction, Life Sciences, Deep learning, Computer science, Tactile Perception and Cross-modal Plasticity, Human-Computer Interaction, Gesture Recognition in Human-Computer Interaction, Computer Science, Physical Sciences, Hand gesture recognition, Hand Gesture, Neuroscience

Prístupová URL adresa: https://doaj.org/article/546ccf5187824d39ba818ada65cdd275

A LIGHTWEIGHT MULTI-PERSON POSE ESTIMATION SCHEME BASED ON JETSON NANO

Autori: Lei Liu Eric Blancaflor Mideth Abisado

Zdroj: Applied Computer Science, Vol 19, Iss 1, Pp 1-14 (2023)

Predmety: Artificial intelligence, 3D Human Pose, Pose, Action (physics), Gesture Recognition, 3D pose estimation, Information technology, Skeleton-Based Recognition, Mathematical analysis, Quantum mechanics, computer vision, Anomaly Detection in High-Dimensional Data, Pose Estimation, Artificial Intelligence, Image (mathematics), FOS: Mathematics, Software deployment, Scheme (mathematics), Upsampling, Physics, human pose estimation, edge ai, deep learning, QA75.5-76.95, T58.5-58.64, Computer science, lightweight model, Human-Computer Interaction, Enhanced Data Rates for GSM Evolution, Operating system, Gesture Recognition in Human-Computer Interaction, Action Recognition, Electronic computers. Computer science, Human Action Recognition and Pose Estimation, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Mathematics

Prístupová URL adresa: https://doaj.org/article/28bc8317db114d9db14b93a216afe99e

A Systematic Literature Review on Vision-Based Hand Gesture for Sign Language Translation

Autori: Rina Tasia Johari Rizauddin Ramli Zuliani Zulkoffli a ďalší

Zdroj: Jurnal Kejuruteraan. 35:287-302

Predmety: Artificial intelligence, Sentence, Cognitive Neuroscience, MEDLINE, FOS: Political science, Gesture Recognition, Social Sciences, FOS: Law, Mathematical analysis, Sign Language, Gesture, Developmental and Educational Psychology, FOS: Mathematics, Psychology, Sign language, Machine translation, 10. No inequality, Political science, Natural language processing, 4. Education, Life Sciences, Linguistics, Computer science, Tactile Perception and Cross-modal Plasticity, FOS: Philosophy, ethics and religion, 3. Good health, Human-Computer Interaction, FOS: Psychology, Philosophy, Gesture Recognition in Human-Computer Interaction, Braille Reading, Sign (mathematics), Computer Science, Physical Sciences, Systematic review, FOS: Languages and literature, Acquisition and Development of Sign Language, Law, Mathematics, Neuroscience