Super-Resolution-Based Human-Computer Interaction System for Speech and Hearing Impaired Using Real-Time Hand Gesture Recognition System

2021 ◽  
pp. 135-153
Author(s):  
Suriya Sundaramoorthy ◽  
Balaji Muthazhagan
Keyword(s):  
Human Computer Interaction ◽  
Real Time ◽  
Gesture Recognition ◽  
Super Resolution ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hearing Impaired ◽  
Hand Gesture ◽  
Interaction System ◽  
Computer Interaction

HUMAN-COMPUTER INTERACTION USING DYNAMIC HAND GESTURE RECOGNITION TO CONVENIENTLY CONTROL THE SYSTEM

2021 ◽  
Vol 5 (9) ◽  
Author(s):  
Smit Parikh ◽  
Srikar Banka ◽  
Isha Lautrey ◽  
Isha Gupta ◽  
Prof Dhanalekshmi Yedurkar
Keyword(s):  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Hand Gestures ◽  
Basic Functions ◽  
Dynamic Hand Gesture Recognition ◽  
Basic Features ◽  
Computer Interaction

The use of a physical controller such as a mouse, a keyboard for human computer interaction hinders the natural interface since the user and computer have a high barrier. Our aim is to create an application that controls some basic features of computers using hand gestures through an integrated webcam to resolve this issue. A Hand Gesture Recognition system detects gestures and translates them into specific actions to make our work easier. This can be pursued using OpenCV to capture the gestures which will be interfaced using Django, React.Js and Electron. An algorithm named YOLO is used to train the system accordingly. The gestures will get saved inside the DBMS. The main result expected is that the user will be able to control the basic functions of the system using his/her hand gestures and hence providing them utmost comfort.

scholarly journals Real-Time Hand Gesture Spotting and Recognition Using RGB-D Camera and 3D Convolutional Neural Network

2020 ◽  
Vol 10 (2) ◽  
pp. 722 ◽  
Author(s):  
Dinh-Son Tran ◽  
Ngoc-Huynh Ho ◽  
Hyung-Jeong Yang ◽  
Eu-Tteum Baek ◽  
Soo-Hyung Kim ◽  
...  
Keyword(s):  
Neural Network ◽  
Human Computer Interaction ◽  
Real Time ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Video Gaming ◽  
Hand Gesture ◽  
Novel Method ◽  
High Level ◽  
Computer Interaction

Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations. Gesture-based interfaces are used in many applications in a variety of fields, such as smartphones, televisions (TVs), video gaming, and so on. With advancements in technology, hand gesture recognition is becoming an increasingly promising and attractive technique in human–computer interaction. In this paper, we propose a novel method for fingertip detection and hand gesture recognition in real-time using an RGB-D camera and a 3D convolution neural network (3DCNN). This system can accurately and robustly extract fingertip locations and recognize gestures in real-time. We demonstrate the accurateness and robustness of the interface by evaluating hand gesture recognition across a variety of gestures. In addition, we develop a tool to manipulate computer programs to show the possibility of using hand gesture recognition. The experimental results showed that our system has a high level of accuracy of hand gesture recognition. This is thus considered to be a good approach to a gesture-based interface for human–computer interaction by hand in the future.

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