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Journal articles on the topic 'Hand Mouse'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Parusharamudu, Mr M., N. Vivek, and Ch Sanjay Vardhan. "Virtual Mouse Using Hand Gestures." International Journal of Research Publication and Reviews 6, no. 4 (2025): 14589–93. https://doi.org/10.55248/gengpi.6.0425.1662.

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2

Grif, Horatiu-Stefan, Zoltan German, and Adrian Gligor. "Hand Posture Mouse." Procedia Technology 19 (2015): 766–71. http://dx.doi.org/10.1016/j.protcy.2015.02.108.

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Thakur, Shanu. "Virtual Mouse." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33792.

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Now a days the use of hand gesture recognition became popular due to the advance technology of artificial Intelligence (AI). In recent years, there has been a growing interest in developing alternative methods for human-computer interaction (HCI) that go beyond traditional input devices like keyboards and mouse. Hand gesture recognition has emerged as a promising approach, offering intuitive and natural ways for users to interact with digital interfaces. The proposed system utilizes computer vision techniques to detect and track hand gestures in real-time. By mapping specific gestures to mouse

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Pandi, Mr R. Maruthu, and Dr B. Ramya. "Temporary Anchorage Devices – A Review Virtual Mouse Using Hand Gesture." International Journal of Research Publication and Reviews 6, no. 4 (2025): 1504–9. https://doi.org/10.55248/gengpi.6.0425.1365.

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Indraneel, K. J. S. S., P. Narendra Reddy, G. Leela Srinivas, J. Alekh Vara Prasad, and Ananthoju Vijay Kumar. "Hand Gesture Based Virtual Mouse." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2458–61. http://dx.doi.org/10.22214/ijraset.2023.51731.

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Abstract: Since the invention of the PC, a method for creating a connection cycle between humans and computers is currently being developed. A truly innovative piece of HCI(Human Computer Interaction), the mouse. There are still such gadgets around even though remote control or Bluetooth mouse technology is still in development. A Bluetooth mouse requires a dongle for connectivity and battery. The difficulty of using a mouse increases when it has additional devices. The suggested mouse framework goes beyond the point. This study suggest an HCI-based virtual mouse framework that makes use of co

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Reddy, Mr K. Vikram. "Hand Gesture based Virtual Mouse." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 1646–49. http://dx.doi.org/10.22214/ijraset.2021.34497.

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Chen, Yu, Errol R. Hoffmann, and Ravindra S. Goonetilleke. "Structure of Hand/Mouse Movements." IEEE Transactions on Human-Machine Systems 45, no. 6 (2015): 790–98. http://dx.doi.org/10.1109/thms.2015.2430872.

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Kalipu, Ravi Kumar, Harish Kurmana, Divakar Allaboina, Sanjay Kumar Chilla, Bhavish Lakkavarapu, and Ravi Kumar Nubothu. "Virtual Mouse Using Hand Gestures." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43518.

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The Virtual Mouse using Hand Gesture Recognition is an innovative system that allows users to control a computer cursor through hand gestures instead of a traditional mouse. This project utilizes Python, machine learning, and OpenCV to detect and interpret hand movements in real time. A camera captures gestures, which are processed using computer vision techniques to perform mouse actions such as clicking, scrolling, and cursor movement. Additionally, a zoom-in and zoom-out feature enhances user interaction through specific gestures. This touch-free interface provides an intuitive and hygienic

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Onkar, Yadav Sagar Makwana Pandhari Yadav Prof. Leena Raut. "CURSOR MOVEMENT BY HAND GESTURE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 3 (2017): 234–37. https://doi.org/10.5281/zenodo.400839.

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The paper proposes hand tracking based a virtual mouse application, which can be implemented using a regular webcam. Our method is to use a camera and computer vision technology, such as image segmentation and gesture recognition, to manage mouse tasks (left and right clicking, double-clicking, and scrolling) and we show how it can perform everything current mouse devices can.

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Freeman, Jonathan B. "Doing Psychological Science by Hand." Current Directions in Psychological Science 27, no. 5 (2018): 315–23. http://dx.doi.org/10.1177/0963721417746793.

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Over the past decade, mouse tracking in choice tasks has become a popular method across psychological science. This method exploits hand movements as a measure of multiple response activations that can be tracked continuously over hundreds of milliseconds. Whereas early mouse-tracking research focused on specific debates, researchers have realized that the methodology has far broader theoretical value. This more recent work demonstrates that mouse tracking is a widely applicable measure across the field, capable of exposing the microstructure of real-time decisions, including their component p

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Manigandan, T., S. Rohit, and R. Prakash. "Facial Authentication for Controlling Mouse Cursor with Hand Motion Detection using Webcam." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 873–76. http://dx.doi.org/10.31142/ijtsrd11116.

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12

Sayre, Umang. "Controlling Mouse Cursor Using Hand Gestures." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43347.

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In the field of human-computer interaction ,input devices like keyboard, mouse have been the standard method of communication. However there is smoother and more natural way of communicating through the implementation of hand gesture. This study address the hands free application to control the cursor, aiming to develop a system that allow users to control the computer cursor using hand gesture. Python and OpenCV are powerful tools that can be utilized to recognize and interpret hand gestures. By implementing image processing techniques, developers can create software that can accurately ident

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13

Ranjan, Shudhanshu, Sumit Anand, Vinayak Gontia, Aman Chandra, Vineet Sharan, and Spandana SG. "Virtual Mouse Control using Hand Gesture." International Journal of Engineering Research in Computer Science and Engineering 9, no. 11 (2022): 20–23. http://dx.doi.org/10.36647/ijercse/09.11.art006.

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This research proposes a way for controlling the cursor's placement using only one's hands and no electronic equipment. While movements like clicking and dragging things will be done using various hand gestures. The suggested system will just require a webcam as an input device. OpenCV and Python, as well as additional tools, will be required for the suggested system.

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A, Mr Venkateshwar. "Hand Gesture Recognition System as Virtual Mouse for HCI." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1098–101. http://dx.doi.org/10.22214/ijraset.2021.37503.

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Abstract: The technique of interaction between human and computer is evolving since the invention of computer technology. The mouse is one of the invention in HCI (human computer interaction) technology. Though wireless are Bluetooth mouse technology is invented still, that technology is not completely device free. A Bluetooth mouse has the requirement of battery power it requires extra power supply. Presence of extra devices in a mouse increases the difficulty level of more hardware components. The proposed mouse system is outside this limitation. This paper proposes a virtual mouse system us

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Mahna, Shivanku, Ketan Sethi, and Sravan Ch. "Controlling Mouse using Hand Gesture Recognition." International Journal of Computer Applications 113, no. 5 (2015): 1–4. http://dx.doi.org/10.5120/19819-1652.

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Rathnam, Martin Joel, Pradyuman Sharma, Anand Shaw, Anoop Krishnan, and Vivek Vishal. "Virtual Mouse – Hand Gesture Recognition System." International Journal of Innovative Research in Advanced Engineering 10, no. 06 (2023): 313–19. http://dx.doi.org/10.26562/ijirae.2023.v1006.13.

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The purpose of this research is to enhance the identification of hand gestures in a Human-Computer Interaction scenario, while also minimizing the computational time required and enhancing user comfort. To achieve this goal, the authors created a computer mouse control application that employs an algorithm and selected hand features, resulting in efficient performance. The integration of voice assistant with the recommended hand postures further improves user experience and facilitates system operation.

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Pawar, Niranjan. "Mouse Cursor Control Using Hand Gestures." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45655.

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Abstract - The traditional mouse and keyboard interface, while effective, can limit interaction in certain environments where touchless control is preferable or necessary. This project presents a novel approach to controlling a computer mouse cursor using hand gestures, leveraging computer vision and real-time image processing. The system uses a standard webcam to capture hand movements, which are then interpreted using OpenCV and Python-based image processing techniques. By detecting and tracking specific hand gestures, the system can move the cursor, perform clicks, and execute other common

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Patil, Mr Soham. "Hand Tracking-Based Virtual Mouse System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2622–23. https://doi.org/10.22214/ijraset.2025.70798.

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Abstract: This study presents a real-time hand gesture-based virtual mouse system leveraging computer vision technologies. The system utilizes a webcam, OpenCV, Mediapipe, PyAutoGUI, and Pynput to allow touchless cursor movement, left/right clicks, double click, and screenshot functionality. The goal is to improve human-computer interaction, especially in hygienic or accessibility-focused environments. This method replaces traditional physical mouse devices with intuitive gestures, enhancing ease of use and inclusivity.

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19

Lin, Chern-Sheng, Kun-Cheng Li, Chia-Tse Chen, Chia-Chang Chang, and Der-Song Chung. "HAND GESTURE RECOGNITION IN A LEG SPORT SYSTEM." Biomedical Engineering: Applications, Basis and Communications 21, no. 02 (2009): 97–105. http://dx.doi.org/10.4015/s1016237209001192.

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This study added a hand gesture quick interactive operation to the human–machine interface of a leg sport system. Hands are of varying skin color, thus, the background noise and light rays during detection can lead to misjudgments. This study adopted the YCbCr color system to detect skin color and minimize the impact of light rays to mark the characteristic point after the skin color had been separated. The system defines three simplified gestures: clenching the fist with the forefinger and reaching out represents the mouse pointer, clenching the fist with the forefinger and thumb and reaching

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Wattamwar, Shruti, Disha Ramgude, and Sakshi More. "HAND GESTURE BASED VIRTUAL MOUSE USING AI." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem28234.

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The pandemic has brought about a significant change in technology, leading to the creation of a virtual mouse as a substitute for a traditional one. This innovative system utilizes a webcam or built-in camera to capture frames, which are then analyzed through computer vision to enable tracking. Users can control mouse functions by performing gestures, making it a device-free solution, although it does require a battery and a connected dongle. The development and adoption of this virtual mouse represents an active area of research. In basic terms, the system captures images with a camera, proce

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21

Pathan, Yusuf. "Hand Gesture-Control Gaming and Mouse Navigation System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41237.

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-- This paper explores the development of a gesture-controlled system that enables users to interact with computer games, such as Hill Climb Racing, using hand movements. The system utilizes real-time data from a webcam, along with libraries like MediaPipe, OpenCV, and Pygame, to detect and interpret hand gestures. By tracking hand movements, the software allows users to control game functions and navigate the mouse pointer without the need for traditional input devices. This approach not only enhances the gaming experience but also promotes hands- free interaction, with potential for future i

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22

Guha, Joy, Shreya Kumari, and Prof Shiv Kumar Verma. "AI Virtual Mouse Using Hand Gesture Recognition." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 3070–76. http://dx.doi.org/10.22214/ijraset.2022.41981.

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Abstract: The PC mouse is one of the wondrous developments of people in the field of Human-Computer Interaction (HCI) innovation. In new age of innovation, remote mouse or a contact less mouse actually utilizes gadgets and isn't liberated from gadgets completely, since it utilizes power from the gadget or might be from outside power sources like battery and gain space and electric power, likewise during COVID pandemic it is encouraged to make social separating and keep away from to contact things which gave by various people groups. Inside the projected AI virtual mouse utilizing hand signal f

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23

Panditi Uma Vignesh, Mohammed Thaqib-ul-Rahman, Sripada Dheeraj, Tileti Sai Charan Reddy, and Mohammed Ayaz Uddin. "AI Virtual Mouse Using Hand Gesture Recognition." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 05 (2025): 2259–63. https://doi.org/10.47392/irjaeh.2025.0332.

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The AI Virtual Mouse leverages advanced computer vision and artificial intelligence techniques to replace traditional physical mice with an innovative, touch-free solution for human-computer interaction. This system uses a camera to capture real-time hand movements and gestures, which are processed through machine learning algorithms for accurate gesture recognition. The recognized gestures are mapped to conventional mouse functionalities such as cursor movement, clicking, dragging, and scrolling. Designed with user accessibility and ergonomic considerations in mind, the AI Virtual Mouse provi

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24

M L, Mrs Asha. "MOUSE AND KEYBOARD MOTION SENSING USING HAND SIGNS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32492.

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The project presents a way for Human- Computer Interaction (HCI) that employs a web camera or an integrated camera to control the movement of the indicator instead to the current methods, which typically involve manually entering buttons or altering the positions of a physical mouse. Instead, it can perform the functions that a physical computer mouse does, and it does it through camera and technology for computer vision to manage different mouse events. The Virtual Mouse color recognition application constantly acquires real-time image data and processes it using several filtering and convers

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Shriram, S., B. Nagaraj, J. Jaya, S. Shankar, and P. Ajay. "Deep Learning-Based Real-Time AI Virtual Mouse System Using Computer Vision to Avoid COVID-19 Spread." Journal of Healthcare Engineering 2021 (October 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/8133076.

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The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery for power and a dongle to connect it to the PC. In the proposed AI virtual mouse system, this limitation can be overcome by employing webcam or a built-in camera for capturing of hand gestures and hand tip detection using computer vision. The algorithm used in the system makes use of the machine learning algorithm. Based on the hand gestures, the computer can be controlled vir

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26

Nandwalkar, Dr Jayant, Mahima Mandal, Amisha Khirari, and Tejas Bhalchim. "Control Mouse using Hand Gesture and Voice." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3261–68. http://dx.doi.org/10.22214/ijraset.2023.50850.

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Abstract: 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 contr

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27

Rupali, Shinganjude, Majrikar Dipak, Bawiskar Atharva, Bobhate Sayali, Chaurawar Jatin, and Ninawe Gaurav. "Virtual Mouse Using AI and Computer Vision." Virtual Mouse Using AI and Computer Vision 8, no. 11 (2023): 4. https://doi.org/10.5281/zenodo.10158688.

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A paper proposing a virtual mouse system controlled by hand gestures that use AI algorithms to recognize and translate them into mouse movements. In the human-computer interaction module, hand gestures played a significant role. The system is designed to provide an alternative interface for people who face difficulty using a traditional mouse or keyboard. This virtual mouse system uses a camera to capture images of the user's hand, which are processed by an AI algorithm to recognize the gestures made by the user. Once the gesture is recognized, it is translated to a corresponding mouse movemen

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Pilare, Piyush, Coral Mahato, Chanchal Khergade, Shubham Agrawal, and Prasheel Thakre. "Implementation of Hand Gesture-Controlled Mouse Using Artificial Intelligence." 3C Tecnología_Glosas de innovación aplicadas a la pyme 11, no. 2 (2022): 71–79. http://dx.doi.org/10.17993/3ctecno.2022.v11n2e42.71-79.

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This article presents a proposed mouse system. In this paper, we discussed the implementation of an artificially intelligent hand gesture-controlled mouse that uses computer vision to execute mouse functions using the Colour detection technique. The virtual mouse uses the current python and computer vision algorithms for the recognition of the Masked/colored region and works seamlessly without any extra hardware requirements. A computer may be controlled remotely using hand motions, and it is capable to perform cursor movement, left-clicking, and right-clicking without the need for a hardware

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Naaz, Nuzhat, and G. Praveen Babu. "Implementation of Virtual Keyboard Using Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 11, no. 9 (2023): 1453–57. http://dx.doi.org/10.22214/ijraset.2023.55863.

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Abstract: Human interaction with computers is increasing everyday with the advancement in Technology. The different ways of interaction with computers have become an important factor in choosing devices. Humans are more interested in lightweight, touchless technologies that can make the work easier and easier. In this Paper, a virtual keyboard and mouse that act as touchless input medium to Computers and eliminates the use of physical keyboard and mouse has been proposed. The virtual keyboard and mouse are designed to execute its functionality by recognizing hand gestures. The project is build

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30

Latha, B., Sri Sowndarya, Swethamalya K, Ashish Raghuwanshi, Rakhmatova Feruza, and G. Sathish Kumar. "Hand Gesture and Voice Assistants." E3S Web of Conferences 399 (2023): 04050. http://dx.doi.org/10.1051/e3sconf/202339904050.

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Hand gesture mouse control for systems has received a lot of attention in recent years Because of its many uses and capability to efficiently connect with machines via human- computer interaction, hand gesture mouse control for systems has attracted a lot of attention in recent years. Most visual hand motion detection systems can only be used in specific settings due to the effects of lighting and complicated backgrounds. Together with the quick advancement of computer vision and machine learning, the need for human- machine interaction is also rising. Despite the complicated history, the sugg

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Asmoro, Jeffri Dian, Achmad Teguh Wibowo, and Mujib Ridwan. "VIRTUAL MOUSE WITH HAND GESTURE RECOGNITION BASED ON HAND LANDMARK MODEL FOR POINTING DEVICE." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 9, no. 2 (2023): 261–68. http://dx.doi.org/10.33330/jurteksi.v9i2.2073.

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Abstract: Technology is growing rapidly and has become one of the human needs that must be owned to solve the problems being faced. The development of touchless input devices or hand gesture recognition using a camera is a form of machine learning. Gestures can define as physical movements of the hands, arms, or body as expressive messages, besides that this hand gesture system can explain the contents of commands that have meaning. In this research, a virtual mouse system will be developed using hand gesture recognition based on the hand landmark model for pointing devices. The resulting appl

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32

Rathi, Aman. "AI Virtual Mouse." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 852–58. https://doi.org/10.22214/ijraset.2025.70308.

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The method for creating a process of human-computer interaction has changed since the advancement of computer technology. The mouse is a great tool for the human-computer interaction. This study offers a way to move the pointer without using any technological devices. On the other hand, other hand moves can be applied for operations like drag and click objects. The suggested system will just need a camera as an input device. Along with additional tools, the system will need to be used with OpenCV and Python. The output from the camera shall be shown on a display that is connected so that the u

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33

Surse, Shriram, Pankaj Koli, Tahoor Khan, and Prof Aditi Wangikar. "GESTURE CONTROL MOUSE USING MACHINE LEARNING." International Journal of Engineering Applied Sciences and Technology 10, no. 01 (2025): 76–81. https://doi.org/10.33564/ijeast.2025.v10i01.011.

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In this research paper, we present a pioneering system for gesture-based control of a virtual mouse using computer vision and machine learning techniques. The system leverages the capabilities of the MediaPipe library and OpenCV to accurately detect and track hand gestures in real time through a standard webcam. The virtual mouse controller, implemented in Python, interprets the hand gestures to enable intuitive and natural interaction with the computer. Our approach includes the detection and tracking of multiple hand landmarks, allowing for precise mapping of hand movements and finger positi

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Kant, Ravi, Divyansh Ruhela, Ashi Tyagi, Mayank Gupta, Kanak Singh, and Ayush Tiwari. "Literature Review of “Gesture Navigator: AI Based Virtual Mouse”." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4210–15. http://dx.doi.org/10.22214/ijraset.2024.61942.

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Abstract: The mouse is one of the wonderful inventions of Human-Computer Interaction (HCI) technology. Currently, wireless mouse or a Bluetooth mouse still uses devices and is not free of devices completely since it uses a battery for power and a dongle to connect it to the PC. In the proposed AI based virtual mouse system, this limitation can be overcome by employing webcam or a built-in camera for capturing of hand gestures and hand tip detection using computer vision. The algorithm used in the system makes use of the machine learning algorithm. Based on the hand gestures, the computer can b

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35

El Magrouni, Issam, Abdelaziz Ettaoufik, Siham Aouad, and Abderrahim Maizate. "Hand Gesture Recognition for Virtual Mouse Control." International Journal of Interactive Mobile Technologies (iJIM) 19, no. 02 (2025): 53–64. https://doi.org/10.3991/ijim.v19i02.51879.

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Our work delved into the complexities of real-time hand motion interpretation and fingertip recognition to simulate the functionality of a traditional mouse. We developed a python-based technique that seamlessly translates hand movements into mouse commands by analyzing the angles between fingers and calculating the ratio of the hand’s silhouette to its convex hull. Our methodology was refined to ensure an intuitive and accurate user experience. However, challenges remained in achieving robustness and accuracy in gesture recognition systems in various scenarios, including variations in lightin

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Kotari,, Gopinadh. "Augmented Virtual Mouse System with Enhanced Gesture Recognition." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31709.

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This paper presents the development of a contactless system designed to serve as an alternative to the traditional physical input device, such as a computer mouse or touchpad, utilized in human-computer interaction. The proposed system aims to offer a more convenient and hygienic way of interacting with computer devices by using hand gestures instead of physical contact with the mouse system or machine interface. The system has potential applications in various fields including healthcare, public interfaces, and gaming. Existing gesture-controlled input systems lack a comprehensive touchless a

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Pooja, J. Pawar, and S. Banait Archana. "SMART VIRTUAL MOUSE SYSTEM USING HAND GESTURE AND FINGERTIP DETECTION." Journal of the Maharaja Sayajirao University of Baroda 59, no. 1 (I) (2025): 483–91. https://doi.org/10.5281/zenodo.15318689.

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Abstract: The rapid advancement of Human-Computer Interaction (HCI) has led to innovative input systems that replace traditional devices like the mouse and keyboard. This research investigates how hand gestures can be used to replace physical mouse inputs in a computer system, utilizing computer vision and deep learning techniques. We developed a virtual mouse system that captures hand gestures using a standard webcam, which is then processed by computer vision algorithms to control mouse functions such as cursor movement, clicking, scrolling, and zooming. The system was tested under various c

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Shinde, Vaibhavi, Rahin Shaikh, and Ayush Athare. "VIRTUAL MOUSE WITH INTEGRATED CHATBOT." International Journal Of Mathematics And Computer Research 12, no. 04 (2024): 119–4123. http://dx.doi.org/10.47191/ijmcr/v12i4.01.

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Notably, the research addresses challenges in achieving precision and user adaptability within Virtual Gesture Systems. Employing a systematic methodology, the study utilizes cutting-edge hardware and software to capture and analyze data related to hand motion. Additionally, this research integrates a voice assistant-based chatbot with limited functions, expanding the scope of interaction possibilities. The results offer a comprehensive evaluation of the combined Virtual Gesture System and voice-assisted chatbot. This evaluation includes a comparative analysis of accuracy, efficiency, and user

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Yunita, Helda, and Endang Setyati. "Hand Gesture Recognition Sebagai Pengganti Mouse Komputer Menggunakan Kamera." Jurnal ELTIKOM 3, no. 2 (2019): 64–76. http://dx.doi.org/10.31961/eltikom.v3i2.114.

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Akhir-akhir ini perkembangan teknologi semakin pesat, metode interaksi dan komunikasi antara pengguna dengan komputer adalah salah satu tuntutan perkembangan teknologi. Berbagai macam pembaharuan teknologi mengusahakan untuk meminimalisir berbagai macam perangkat menjadi satu agar lebih mudah digunakan. User lebih membutuhkan peralatan komunikasi yang bersifat alami karena tidak membutuhkan kontak langsung dengan peralatan input. Misalnya dengan gerakan dari tubuh manusia didepan kamera komputer sudah bisa menginterpretasikan. Untuk mengatasi masalah tersebut maka dilakukan suatu penelitian te

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Nikita, Chaudhari, Sonawane Kaustubh, and Boyanapalli Arathi. "Hand Gesture Control System using Open CV." Hand Gesture Control System using Open CV 8, no. 11 (2023): 6. https://doi.org/10.5281/zenodo.10245341.

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All around the world, researchers are working to improve the interactivity of digital devices and to make them operate with the least amount of physical interaction possible. The interactive computer system proposed in this study can function without a keyboard or mouse. By the implementation of this project, everyone would have an advantage including a paralyzed person who finds it difficult to use a mouse or keyboard. The easiest and most natural way to communicate is through hand gestures and hence an innovative method of computer control using a real-time web camera is demonstrated in this

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Singh, Jasdeep, Sahil Goyal, Bhavik Kwatra, and Sandeep Kaur. "Virtual Mouse Using Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1397–402. http://dx.doi.org/10.22214/ijraset.2023.56223.

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Abstract: The "AI Virtual Mouse" project represents a pioneering exploration at the intersection of computer vision, machine learning, and digital artistry. This endeavor seeks to revolutionize the conventional modes of digital art creation by introducing an immersive, hands-free painting experience through the interpretation of hand gestures. Motivated by a vision to make digital art more intuitive and interactive, the project employs sophisticated hand tracking facilitated by the MediaPipe library and robust image processing via the OpenCV framework. By discerning the nuanced movements of th

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Brenner, Eli, Myriam L. de Graaf, Marielle J. Stam, Margreet Schonwetter, Jeroen B. J. Smeets, and Robert J. van Beers. "When Is Moving a Cursor With a Computer Mouse Intuitive?" Perception 49, no. 4 (2020): 484–87. http://dx.doi.org/10.1177/0301006620915152.

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People have a good intuition of how to move a computer mouse to place a cursor at a desired position on a screen. This is surprising because the hand and the mouse are at different locations and they generally move in different directions and over different distances. But using a computer mouse is not always intuitive: try positioning a cursor after turning the mouse by 90° in your hand. To examine when using a computer mouse is intuitive, we asked participants to move a cursor to targets on a screen by moving a mouse along a surface. We varied the orientation of this surface in space and that

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Peng, Yingtong. "INTERMANUAL TRANSFER OF RETRIEVAL-INDUCED FORGETTING IN MOTOR SEQUENCE LEARNING." Highlights in Science, Engineering and Technology 14 (September 29, 2022): 245–60. http://dx.doi.org/10.54097/hset.v14i.1828.

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Previous studies have found that Retrieval-Induced Forgetting (RIF) affects motor-sequence learning on the keyboard, but no studies have examined whether practicing with a different effector induces forgetting. This experiment examined whether left-hand practice causes competition and induces forgetting of other right-hand learned, but unpracticed keyboard sequences using mouse sequences as memory baseline. This experiment used two primary ways through which right hand movements can be translated onto left hands, transpositional translation (same visual representations but different fingers) a

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T., Manigandan, Rohit S., and Prakash R. "Facial Authentication for Controlling Mouse Cursor with Hand Motion Detection using Webcam." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 873–76. https://doi.org/10.31142/ijtsrd11116.

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In this paper, a human computer interface using hand gestures or any hand signal is introduced. This system is enhanced to replace the use of computer mouse with any hand signal instead of using any face expression. The system track the users hand movements with a webcam to displacement of the mouse cursor and users any hand sign is used to translates them into mouse click events on computer screen. Along with this system we also introduce facial authentication for privacy before some movements are introduced. Finally the system thus eliminates the direct contact with the mouse. Hand Motion De

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Patil, Omkar, Shreyash Patil, Nikhil Shingade, and Ashish Katkar. "Virtual Mouse System using Hand Gesture recognition with Open CV." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem27906.

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The use of hand gesture recognition for controlling virtual devices has gained popularity with the advancement of artificial intelligence technology. In this paper, we propose a hand gesture-controlled virtual mouse system that employs AI algorithms to identify and interpret hand gestures, translating them into mouse movements. The primary objective of this system is to provide an alternative interface, particularly beneficial for individuals facing challenges with traditional mouse or keyboard usage.Our proposed system utilizes a camera to capture images of the user's hand. To enable gesture

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Journal, IJSREM. "A IMPLEMENTATION ON IMPLEMTATION OF VISION GLIDE TECHNIQUE FOR SMOOTH NAVIGATION WITH CAMERA BASED VIRTUAL MOUSE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26650.

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As artificial intelligence technology has advanced, it has become commonplace to employ hand gesture detection to control virtual objects. The suggested system in this research is a hand gesture-controlled virtual mouse that uses AI algorithms to recognize hand gestures and transform them into mouse movements. People who have trouble using a conventional mouse or keyboard can use the system to provide an alternate interface. The suggested method takes pictures of the user's hand with a camera, which an AI program then utilizes to identify the motions the user is making. Since the development o

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Swamy, J. Kumara, and Mrs Navya V. K. "AI Based Virtual Mouse with Hand Gesture and AI Voice Assistant Using Computer Vision and Neural Networks." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (2023): 1651–61. http://dx.doi.org/10.22214/ijraset.2023.55412.

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Abstract: The use of hand gesture recognition in controlling virtual devices has become popular due to the advancement of artificial intelligence technology. A hand gesture-controlled virtual mouse system that utilizes AI algorithms to recognize hand gestures and translate them into mouse movements is proposed in this paper. The system is designed to provide an alternative interface for people who have difficulty using a traditional mouse or keyboard. The proposed system uses a camera to capture images of the user’s hand, which are processed by an AI algorithm to recognize the gestures being m

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S, Sampreeth. "Hand Gesture Recognition-Based Virtual Mouse Using CNN." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 670–77. https://doi.org/10.22214/ijraset.2025.68259.

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Abstract: Advancement sin the field of computing have beena crucial point in the historyofmankind.Inputandoutputdevices, which are of utmost importance, have undergone numerous changes. Human-Computer Interface (HCI) is an importantpart of computer systems. In this paper, we have developed a virtual mouse that detects hands in live video feeds, recognizes gestures, and uses a Convolutional Neural Network (CNN) to classify them. The system then performs appropriate mouse operations.This approach aims to replace traditional hardware- based input devices

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Zhang, Nai Zhong, Jing Wen, and Wei Li. "Implementation of Hand-Free Head Mouse Control System." Applied Mechanics and Materials 738-739 (March 2015): 999–1002. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.999.

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As computer vision technology been developing, while camera becomes standard configuration for personal computer (PC) and computer calculating speed becomes faster and faster, Computer vision have been more popular used in people daily life, people can use computer as an eye to see and recognize the real world, In this paper, we will present a novel electronic head mouse control system which is based on human facial feature. Our system firstly detect human face from the input image by using face features in YUV Color model, and then for face candidate, use reversed relationship information bet

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Deeksha, Verma*1 &. Dr. Pankaj Sharma2. "VISION BASED COMPUTER MOUSE CONTROLLING USING HAND GESTURES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 6 (2018): 376–83. https://doi.org/10.5281/zenodo.1290498.

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Many modules have been developed to help the physical world interact with the digital world. Here we present a novel approach for Human Computer Interaction (HCI) where, we control cursor movement using a real-time camera and color pointers. Our method is to use a camera and computer vision technology, such as image segmentation, background subtraction and color tracking, to control mouse tasks (left clicking, right clicking, double-clicking and scrolling actions) and we show how it can perform everything as current mouse devices can. A color pointer has been used for the object recognition an

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