Gesture Recognition Based Mouse Events

Puri, Rachit

doi:10.5121/ijcsit.2013.5608

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…Ref. [ 41 ] presents a useful idea for using mouse points to perform a variety of tasks, including single and double clicking, dragging, and so on. They claim that recognizing motions is challenging since many factors are involved, including modeling and movement, analysis, and pattern recognition.…”

Section: Significant Research Work On Hand Gesture Recognitionmentioning

confidence: 99%

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

et al. 2022

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Researchers have recently focused their attention on vision-based hand gesture recognition. However, due to several constraints, achieving an effective vision-driven hand gesture recognition system in real time has remained a challenge. This paper aims to uncover the limitations faced in image acquisition through the use of cameras, image segmentation and tracking, feature extraction, and gesture classification stages of vision-driven hand gesture recognition in various camera orientations. This paper looked at research on vision-based hand gesture recognition systems from 2012 to 2022. Its goal is to find areas that are getting better and those that need more work. We used specific keywords to find 108 articles in well-known online databases. In this article, we put together a collection of the most notable research works related to gesture recognition. We suggest different categories for gesture recognition-related research with subcategories to create a valuable resource in this domain. We summarize and analyze the methodologies in tabular form. After comparing similar types of methodologies in the gesture recognition field, we have drawn conclusions based on our findings. Our research also looked at how well the vision-based system recognized hand gestures in terms of recognition accuracy. There is a wide variation in identification accuracy, from 68% to 97%, with the average being 86.6 percent. The limitations considered comprise multiple text and interpretations of gestures and complex non-rigid hand characteristics. In comparison to current research, this paper is unique in that it discusses all types of gesture recognition techniques.

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Section: Significant Research Work On Hand Gesture Recognitionmentioning

confidence: 99%

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

et al. 2022

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“…I. The Hand Following Algorithm was used: -To recognise hand gestures and track hands on a laptop, the MediaPipe framework and therefore the OpenCV package are both employed [7][8][9][10]. The application uses machine learning concepts to partially track and detect hand gestures and hand tips.…”

Section: Objectivementioning

confidence: 99%

AI Virtual Mouse Using Hand Gesture Recognition

Shukla¹

2022

Int. J. Res. Publ. Rev.

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The mouse is one of HCI's (Human Computer Interaction) incredible inventions. A wireless mouse or a Bluetooth mouse still uses devices because a battery is needed for power and a dongle is needed to connect the mouse to the PC.Therefore, they are not totally device-free. The proposed AI virtual mouse system can solve this problem by using a webcam or built-in camera to record hand motions and identify hand tips using computer vision. The system's algorithm makes use of the machine learning algorithm. The computer can be controlled digitally and cando left-click, right-click, scrolling, and computer cursor functions based on hand motions without the need for a physical mouse. Deep learning is the basis for the hand detection method. As a result, by eliminating human contact and the requirement for external devices to operate the computer, the suggested strategy will stop the spread of COVID-19.

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“…[11] In this mode the range of colors for detection as primary color are fixed and confined to the individual pure color channels of RGB model only. The pure colors of CMY color model can only be used as secondary or tertiary colors but not as a primary color because the primary color options and their individual combinations for different mouse actions are prefixed at the designed algorithm for this mode.…”

Section: B Mode -2 [Multiple Objects Of Different Colors]mentioning

confidence: 99%

A novel probabilistic approach of colored object detection and design of a gesture based real-time mouse tracking along with virtual teaching intended for color-blind people

Bhattacharjee

Jana²,

Das

et al. 2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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The study of logic led directly to the invention of the programmable digital electronic computer. The theory of computation inspired us to consider the possibility of building an electronically intelligent brain leading to artificial intelligence. We have seen the 3rd generation smart phones and laptops with LED display having both resistive and capacitive touch technology. This paper presents a conceptual approach of controlling mouse movements, writing texts and sketching colored -images by simply making real time gestures in air with colored objects or colored finger caps without making any physical surface contact unlike the (Touch Technology).With the help of the artificial Digital Vision we integrate Image Processing along with Gesture Recognition to generate a Graphical User Interface in order to acquire physical aerial gestures and plot 2-Dimensional curves onto the computer screen using a real time camera (computer webcam). The graphics or texts so generated on screen can be projected to a wall using a projector in a classroom which especially assists the 'lecturers with paralysed legs-who cannot write on a blackboard' or 'lecturers suffering from color -blindness or amblyopia'.

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Gesture Recognition Based Mouse Events

Abstract: ABSTRACT

Cited by 7 publications

References 8 publications

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

AI Virtual Mouse Using Hand Gesture Recognition

A novel probabilistic approach of colored object detection and design of a gesture based real-time mouse tracking along with virtual teaching intended for color-blind people

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