人机交互实时手势识别系统

Shubhangi Tirpude, Devishree Naidu, Piyush Rajkarne, Sanket Sarile, Niraj Saraf, Raghav Maheshwari
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引用次数: 0

摘要

人类正在使用各种设备与系统进行交互,如鼠标、键盘、操纵杆等。我们开发了一种基于手势的虚拟鼠标实时人机交互系统。系统设计为手部检测、手势识别、人机交互以及鼠标事件控制3个模块,实现了更高程度的手势识别。我们首先使用内置的网络摄像头或USB网络摄像头捕捉视频。使用media Pipe手掌检测模型和opencv指尖识别手的每一帧。用户可以通过移动指尖来移动鼠标光标,也可以通过将两个指尖合拢来执行点击操作。所以,这个系统使用网络摄像头捕捉画面,检测手和指尖,点击或移动光标。系统不需要物理设备来移动光标。开发的系统可以扩展到需要更复杂命令格式的人机交互的其他场景,而不仅仅是鼠标事件。
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Realtime Hand Gesture Recognition System for Human Computer Interaction
Humans are using various devices for interacting with the system like mouse, keyboard, joystick etc. We have developed a real time human computer interaction system for virtual mouse based on the hand gestures. The system is designed in 3 modules as detection of hand, recognition of gestures and human computer interaction with control of mouse events to achieve the higher degree of gesture recognition. We first capture the video using the built-in webcam or USB webcam. Each frame of hand is recognized using a media Pipe palm detection model and using opencv fingertips. The user can move the mouse cursor by moving their fingertip and can perform a click by bringing two fingertips to close. So, this system captures frames using a webcam and detects the hand and fingertips and clicks or moves of the cursor. The system does not require a physical device for cursor movement. The developed system can be extended in other scenarios where human-machine interaction is required with more complex command formats rather than just mouse events.
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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