Real-time virtual mouse system using RGB-D images and fingertip detection

Tran, Dinh-Son; Ho, Ngoc-Huynh; Yang, Hyung-Jeong; Kim, Soo-Hyung; Lee, Guee Sang

doi:10.1007/s11042-020-10156-5

Cited by 42 publications

(13 citation statements)

References 28 publications

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“…When we fold the finger or put the finger down, the lines are also down, and the corresponding graph line is down. [4]"Real-time virtual mouse system using RGB-D images and fingertip detection" by Dinh-SonTran et al (2020) proposed hand identification and segmentation with a Microsoft Kinect Sensor version 2 depth picture, K-cosine Corner Detection for fingertip, border tracing algorithm tracking, and locking the target individual. However, the accuracy of the screen degrades as the number of persons increases.…”

Section: IImentioning

confidence: 99%

Wireless Cursor Controller: Hand Gestures for Computer Navigation

Mapari¹,

Shinde²,

Shigwan³

et al. 2023

IJRASET

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This research paper presents a wireless cursor controller system that uses hand gestures to navigate and control a computer's cursor without the need for a traditional mouse. The system employs a fixed position, inexpensive webcam with a high-quality recording feature installed on the top of a computer monitor or a fixed laptop camera. It uses Media-Pipe package for hand tracking and OpenCV for recording motions using computer vision. The system is capable of recognizing hand gestures to perform actions such as left-click, right-click, drag and drop, scroll, and adjust volume or brightness. The proposed system is expected to provide a simple and natural way of communicating for people with hand problems, as well as for those who want to interact with computers more efficiently.

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Section: IImentioning

confidence: 99%

Wireless Cursor Controller: Hand Gestures for Computer Navigation

Mapari¹,

Shinde²,

Shigwan³

et al. 2023

IJRASET

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“…III. METHODOLOGY In this work, they proposed a novel virtual mouse method using RGB-D images and fingertip detection [3]. This study consists of two methods for tracking the fingers, one is by using colored caps and other is by hand gesture detection.…”

Section: Applications 1)mentioning

confidence: 99%

Control Mouse using Hand Gesture and Voice

Nandwalkar¹,

Mandal²,

Khirari³

et al. 2023

IJRASET

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In Human Computer Interaction (HCI), the finest invention is the mouse. Even though a wireless mouse or the Bluetooth mouse is in demand today, it still lacks in many fields like cost and power. This paper, therefore, puts forward a modern approach to regulate the mouse movements using a real-time camera with the help of the hand. Our System aims to improve the recognition of human hand postures in a Human Computer Interaction application, reduce the time spent computing and improve user comfort related to human hand postures. We have developed an application for computer mouse control. Based on the proposed algorithm and selected hand feature, the application has good time-based performance. The user finds it easier to operate the system due to the proposed hand postures in combination with the voice assistant. Voice assistants are the great innovation in the field of AI that can change the way of living of the people in a different manner. Many devices are becoming smarter in their own way to interact with human in an easy language. The Desktop based voice assistant are the programs that can recognize human voices and can respond via integrated voice system.

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“…Tran, DS., Ho, NH., Yang, HJ. et al,(2021) [14] proposed virtual mouse method using RGB-D images and fingertip detection. The hand region of interest and the center of the palm are first extracted using in-depth skeleton-joint information images from a Microsoft Kinect Sensor version 2, and then converted into a binary image.…”

Section: S R Chowdhury Et Al (2020)mentioning

confidence: 99%

Survey paper on Hand Gesture Recognition Based Virtual Mouse

Waichal¹

2022

IJSREM

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Abstract—The invention of computer has been a turning point in the history. It makes our day-to-day life much simpler. The way to communicate with computer i.e., Human Computer Interaction (HCI), is through input and output devices. Mouse is one of the input devices. Mouse is an important part of Human Computer Interaction (HCI). With evolving technology, the cursor can be controlled without physical mouse hardware but using tip of a finger, hand gestures, etc. These hand movements can be recorded through webcam. The movement of the cursor can also be controlled by color detection or fingertip tracking using a webcam. This new era technology is useful in many fields, in many situations. This can be accomplished using extra hardware component or developing a software system. This is achieved through various image processing techniques and gesture recognition techniques without extra hardware. In this paper we have proposed a system which uses hand gesture recognition-based Convolutional Neural Network (CNN) model for controlling the mouse. Keywords—Virtual mouse, Hand Gesture Recognition, CNN model

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Real-time virtual mouse system using RGB-D images and fingertip detection

Cited by 42 publications

References 28 publications

Wireless Cursor Controller: Hand Gestures for Computer Navigation

Wireless Cursor Controller: Hand Gestures for Computer Navigation

Control Mouse using Hand Gesture and Voice

Survey paper on Hand Gesture Recognition Based Virtual Mouse

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