Real time hand gesture recognition for computer interaction

Farooq, Javeria; Ali, Muhaddisa Barat

doi:10.1109/icreate.2014.6828342

Cited by 14 publications

(3 citation statements)

References 6 publications

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“…Paper [4]: They proposed a paper that explores 3 different techniques for hand gesture recognition. They presented a new approach called "Curvature of Perimeter" with virtual mouse as its application The system presented, uses only a webcam and algorithms which are developed using computer vision, image and the video processing toolboxes and Mat lab.…”

Section: Literature Survey Paper [1]mentioning

confidence: 99%

Hand Gesture Recognition System as Virtual Mouse for HCI

A¹

2021

IJRASET

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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 using colored hand glove based on HCI using computer vision and hand gestures. Gestures captured with a webcam on processed with color segmentation, detection technique and feature extraction. The user will be allowed to control some of the computer cursor functions with a colored glove on the hand. Primarily, a user can perform with their fingers, scrolling up or down using their hands in different gestures. This system captures frames using a webcam or built-in cam it is based on the camera quality. So the usage of colored glove mouse system eliminates device dependency in order to use a mouse. Keywords: HCI(human computer interaction), colored hand glove , gestures

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Section: Literature Survey Paper [1]mentioning

confidence: 99%

Hand Gesture Recognition System as Virtual Mouse for HCI

A¹

2021

IJRASET

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“…This is done by going around each point in a convex hull and calculating the angles at those points. The convex hull method is fast but it is not robust [1].…”

Section: Convex Hullmentioning

confidence: 99%

“…The most recent vision advances and the propelled PC equipment limit make continuous, exact and hearty hand following and motion acknowledgment promising. Hand signal acknowledgment is a standout amongst the most dynamic zones of research in PC vision [1]. A signal is a nonverbal correspondence in which noticeable body conveys a specific message.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Data Fusion Based Real-Time Hand Gesture Recognition by Using 3-D Convolution Neural Networks With Kinect V2

Chandrasekhar¹

2019

IKM

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Hand gesture recognition is one of the most active areas of research in computer vision. It provides an easy way to interact with a machine without using any extra devices. Hand gestures are natural and intuitive communication way for the human being to interact with his environment. In this paper, we propose Data Fusion Based Real-Time Hand Gesture Recognition using 3-D Convolutional Neural Networks and Kinect V2. To achieve the accurate segmentation and tracking with Kinect V2. Convolution neural network to improve the validity and robustness of the system. Based on the experimental results, the proposed model is accurate, robust and performance with very low processor utilization. The performance of our proposed system in real life application, which is controlling various devices using Kinect V2.

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