Click Operation Research Articles

PC Controller using Android Device

Abstract: From some years there has been a significant evolution in mobile or smartphone computing and communication devices like mobile phones, media players and many more. This project e is proposed to be able to perform most of the actions a normal computer keyboard and mouse can accomplish. Wireless presentation controller ensures good freedom of movement. but, most of such devices do not allow user full operation on the computer, like running the program, moving or closing an application window, etc This project proposed the design and implementation of converting smartphones into computer remote controllers by which user can wirelessly operate a computer. sWe proposed the system which can reduce the strain of sore moment with the use of computer. It enables the user to move cursor, click operation and applications, play with media such like forward, rewind, pause, run, and increase or reduce the volume of a media file, multi-touch scrolling , pinch gesture for zoom in and out. This could be achieved by useing the proposed application that occurs to the computer network via Wi-Fi which can connects both system with each other, then command from the mobile phone that remotely controls the computer.

Triboelectric sensor-empowered intelligent mouse combined with machine learning technology strides toward a computer security system

The computer mouse is one of the most common tools used for human-machine interfacing. The human behavior studying by click operation using an intelligent mouse and related security identification of computers remains a great challenge. Here, we develop an intelligent mouse embedded with a contact-separation adaptable triboelectric sensor based on the intrinsic mouse button click operation. With the unique characteristics of different individuals who use the intelligent mouse and machine learning algorithms, an identity recognition system was designed. Through processes such as signal processing, feature extraction, and model training, high-accuracy (98.4 %) identification of different individuals based on the signals from the embedded triboelectric sensor in the mouse was achieved. In addition, we have developed a security alarm system for detecting unauthorized users operating the computer, and successfully validated the practicality of this system. A system for monitoring user behaviors while operating the computer has been designed to meet the monitoring needs of user computer usage states. This system can monitor users' gaming, working, or studying states, while effectively protecting users' privacy. In general, this work reveals a new strategy for security identification of computers which can be potentially applied in cyber and information security.

EYE BALL CURSOR MOVEMENT USING OPENCV

In this study, a specific human computer interaction system using eyeball movement is presented. Conventionally, computer system uses mouse as one of the data input devices. But in this system, we use eyes instead of mouse which provides a unique way of operating the computer with the help of eyeball movements. The implementation work underlying this system for pupil identification uses OPENCV library to control the cursor of the personal computer and moreover Eye Aspect Ratio technique is ascertained along with Dlib to detect the pupil. This system tracks the eye movements of the user with an IP cam (Internet Protocol camera) and simulates the eye movements into mouse cursor movements on screen and also detects user’s eye staring on icon and will translate it into click operation on screen. The main aim of this system is to help the user to control the cursor without the use of hands and is of great use especially for the people with disability.

Eyeball Movement based Cursor Control using Raspberry Pi and OpenCV

In this study, a specific human computer interaction system using eyeball movement is presented. Conventionally, computer system uses mouse as one of the data input devices. But in this system, we use eyes instead of mouse which provides a unique way of operating the computer with the help of eyeball movements. The implementation work underlying this system for pupil identification uses raspberry pi board to control the cursor of the personal computer and moreover Eye Aspect Ratio technique is ascertained along with OpenCV to detect the pupil. This system tracks the eye movements of the user with an IP cam (Internet Protocol camera) and simulates the eye movements into mouse cursor movements on screen and also detects user’s eye staring on icon and will translate it into click operation on screen. The main aim of this system is to help the user to control the cursor without the use of hands and is of great use especially for the people with disability.

A Wireless Head-Controlled Mouse Design Using Adaptive Unscented Kalman Filter Algorithm

For some disabled people can’t use hand to control the mouse, this paper designs a novel head-controlled mouse. Using accelerometers and gyroscopes as the sensitive element of the system measure the head rotation angle. The mouse is controlled as for the relationship between the head rotation angle and the mouse move distance. For mouse click operation, this article designed a software to achieve. Considering the MEMS sensor noise affect the mouse control accuracy, using the unscented Kalman filter (UKF) to fusion the data of accelerometers and gyroscopes to obtain the optimal angle estimation. Compared with only using an accelerometer or gyroscope sensor, the method proposed in this paper for angle measurement can have high accuracy and stability, thereby improving the mouse control precision and maneuverability.

Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities

This research pursued the conceptualization, implementation, and testing of a system that allows for computer cursor control without requiring hand movement. The target user group for this system are individuals who are unable to use their hands because of spinal dysfunction or other afflictions. The system inputs consisted of electromyogram (EMG) signals from muscles in the face and point-of-gaze coordinates produced by an eye-gaze tracking (EGT) system. Each input was processed by an algorithm that produced its own cursor update information. These algorithm outputs were fused to produce an effective and efficient cursor control. Experiments were conducted to compare the performance of EMG/EGT, EGT-only, and mouse cursor controls. The experiments revealed that, although EMG/EGT control was slower than EGT-only and mouse control, it effectively controlled the cursor without a spatial accuracy limitation and also facilitated a reliable click operation.

Interface for Operating a Personal Computer with Head Tilting and Mouth Open/Close Motions

This paper describes the support-equipment of operating a personal computer for users who have an obstacle on the regions of upper limb. The user wore a head set device with an angle sensor on the top of the head and a distance sensor in front of the mouth. Two-axis angle sensor could measure the roll and pitch angles of the head, and distance sensor was used to judge whether the mouth was opened or not. The mouse cursor operation was composed of cursor movement mode and click operation mode. Human operator could confirm the input mode by the indicator located near the CRT monitor. In the cursor movement mode, a mouse cursor could be moved according to the direction and magnitude of the tilted head angle. Opening the mouth for more than two seconds could start the click operation mode, and then click functions such as double click or drag actions were selected by the directions of head tilting. Moreover, the mouth open/close motions could support the mouse cursor positioning operation. In test operations, it was confirmed that the mouth operation decreased the number of head tilting times so that the physical burden of the operator could be lightened.