| Поиск по каталогу |
|
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
HAND GESTURE RECOGNITION USING IMAGE PROCESSING.
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Anitha Vulugundam,M Sai Likihitha and A Sai Padma
ISBN: 9786206737278
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 72
Издательство: LAP LAMBERT Academic Publishing
Цена: 25571 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли экономики:Код товара: 760578
| Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
| Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
| Курьерская доставка CDEK из города Москва |
| Доставка Почтой России из города Москва |
Аннотация: To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer interaction. Usually, the focus of this system is to recognize hand configurations including position, orientation, and movements.The main goal of this project is to write a code in MATLAB in order to detect the hand gesture through webcam of laptop and to give relevant outputs based on the database which is already dumped into the code. The overview of the hand gesture recognition is to detect the hand using background subtraction method and the result of hand detection is transformed to a binary image using image segmentation. Then, segmented image is sent to feature extraction stage. In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it from the database.
Ключевые слова: image processing, Matlab, Hand detection
Похожие издания
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Anusha Basamsetti A Theory on Hand Gesture Recognition For Vocal Impaired Community.. 1905 г., 72 стр., мягкий переплет Communicating through hand gestures is one of the most common forms of non-verbal and visual communication adopted by speech impaired population all around the world. The problem existing at the moment is that most of the people are not able to comprehend hand gestures or convert them to the spoken language quick enough for the listener to... | 25571 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Biswarup Ganguly Single Person Hand Gesture Recognition using Artificial Neural Network. . 2020 г., 60 стр., мягкий переплет The introduction of gesture recognition has led to a better man-machine interaction (MMI). Gesture recognition is an interesting topic in computer vision and pattern recognition (CVPR) technology which deals with the mathematical interpretation of human gestures via a computing device. It enables a human being to interact with machines without any... | 23208 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Kavitha S. and Hanumanthappa M. Hand Gesture Recognition Using Different Image Processing Techniques. Pattern Recognition and Image classification using MATLAB. 2018 г., 116 стр., мягкий переплет Hand Gesture Recognition is the wide area in Image processing. It has many applications like Robot image processing, Remote Sensing, Satellite information processing, Leaf Image classification, X-Ray image processing in medical field. The algorithm and images given in the book is very useful for researchers, those who are pursuing Ph.D in Image... | 30038 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Hassam Muazzam Hand Gesture Recognition Using Computer Vision Techniques. . 2016 г., 64 стр., мягкий переплет An endeavor has been made with the help of computer vision techniques and the release of Microsoft Kinect camera. The task of segmentation has been implemented using RGB with depth information; to enhance it, YCbCr color scheme is used. Two level feature extraction algorithms are examined, Scale Invariant Feature Transform (SIFT) for RGB images... | 21414 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Alex vijay raj Amalaraj and Xiaorong Zhang Real-time hand gesture recognition - sign language to voice conversion. . 2015 г., 60 стр., мягкий переплет The main aim of the project is to implement a real-time system that converts hand gestures from the American Sign Language(ASL) to voice signals. This could be used by the people with speaking disabilities to communicate with other people. For this purpose, surface Electromyogram(EMG) which is the measure of electrical activity from the forearm... | 23208 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Paulo Trigueiros,Fernando Ribeiro and Lu?s Paulo Reis Computer Vision and Machine Learning based Hand Gesture Recognition. . 2015 г., 220 стр., мягкий переплет Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices. Hand gesture recognition is a difficult problem and the current work is only a small contribution... | 53091 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Haitham Hasan,Sameem Abdul Kareem and Sabah Husien Recent Trends in Static Hand Gesture Recognition. . 2014 г., 148 стр., мягкий переплет Considerable effort has been put towards developing intelligent and natural interfaces between users and computer systems. This is done by means of a variety of modes of information (visual, audio, pen, etc.) either used individually or in combination. The use of gestures as means to convey information is an important part of human communication.... | 36982 тг |