VIDEO CONTROLLING USING HAND GESTURE FOR DISABLED PEOPLE USING CONVEX HULL TECHNIQUE

The Hand motions are the most well-known types of correspondence and have extraordinary significance in our reality. They can help in building sheltered and agreeable UIs for a large number of uses. In the current system, we have to speak with the Deaf and moronic individuals utilizing Deaf and idiotic language just, there is no programmed device to change over that into sound arrangement. In the Proposed system, Hand motions are the most widely recognized types of correspondence and have incredible significance reality. It is used to build protected and agreeable UIs for huge number of uses. Various types of calculations have utilized on camera for hand motion acknowledgment, yet hearty implementation on motions from different subjects is as yet testing. In the Modification, We convey Hand motion acknowledgment alongside Criminal stance additionally to distinguish and anticipate any criminal activities by any client. So this application is utilized for Deaf and idiotic correspondence and voice over and well criminal activity discovery utilizing matlab.

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Hand Gesture Recognition Using Convex Hull-Based Approach

10.1007/978-981-16-2911-2_17 ◽

2021 ◽

pp. 161-170

Author(s):

Kaustubh Wani ◽

S. Ramya

Keyword(s):

Convex Hull ◽

Gesture Recognition ◽

Hand Gesture Recognition ◽

Hand Gesture

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Prototype Program Hand Gesture Recognize Using the Convex Hull Method and Convexity Defect on Android

Jurnal Online Informatika ◽

10.15575/join.v5i2.594 ◽

2020 ◽

Vol 5 (2) ◽

pp. 205

Author(s):

Muhammad Adi Khairul Anshary ◽

Eka Wahyu Hidayat ◽

Tiara Amalia

Keyword(s):

Operating System ◽

Light Intensity ◽

Convex Hull ◽

Gesture Recognition ◽

Hand Gesture Recognition ◽

Hand Gesture ◽

Well Testing ◽

Background Color ◽

Hand Gestures ◽

Android Operating System

One of the research topics of Human-Computer Interaction is the development of input devices and how users interact with computers. So far, the application of hand gestures is more often applied to desktop computers. Meanwhile, current technological developments have given rise to various forms of computers, one of which is a computer in the form of a smartphone whose users are increasing every year. Therefore, hand gestures need to be applied to smartphones to facilitate interaction between the user and the device. This study implements hand gestures on smartphones using the Android operating system. The algorithm used is convex hull and convexity defect for recognition of the network on the hand which is used as system input. Meanwhile, to ensure this technology runs well, testing was carried out with 3 scenarios involving variable lighting, background color, and indoor or outdoor conditions. The results of this study indicate that Hand gesture recognition using convex hull and convexity defect algorithms has been successfully implemented on smartphones with the Android operating system. Indoor or outdoor testing environment greatly affects the accuracy of hand gesture recognition. For outdoor use, a green background color with a light intensity of 1725 lux produces 76.7% accuracy, while for indoors, a red background color with a light intensity of 300 lux provides the greatest accuracy of 83.3%.

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Real Time Conversion of Hand Gestures to Speech using Vision Based Technique

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i8748.078919 ◽

2019 ◽

Vol 8 (9) ◽

pp. 3184-3190

Keyword(s):

Convex Hull ◽

Sign Language ◽

Basic Structure ◽

Peak Detection ◽

Hand Gesture ◽

Speech Impairment ◽

Text To Speech ◽

Background Elimination ◽

Hand Gesture Detection ◽

Detection And Recognition

Sign Language is one of the most common approaches of communication usually used by people having hearing and speech impairment. These languages consist of well-defined set of gestures or pattern and sequence of actions that conveys meaningful words and sentences. The paper presents different algorithms and techniques for automation of single hand gesture detection and recognition using vision based methods. The paper uses basic structure of hand and properties like centroid for detecting the pattern formed by the fingers and thumb and assigning code bits i.e. converting each gesture into a set of 5 digits representation and motion is detected using movement of centroid in each frame. The paper uses techniques like K-means Clustering or Thresholding for background elimination; Convex Hull or a proposed algorithm for peak detection and text to speech API for conversion of words/sentences corresponding to gestures to speech. Combinations of different techniques like thresholding and convex hull or Clustering and proposed algorithm is implemented and results are compared.

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Analisis Penerapan Metode Convex Hull Dan Convexity Defects Untuk Pengenalan Isyarat Tangan

Jurnal SAINTEKOM ◽

10.33020/saintekom.v8i2.59 ◽

2018 ◽

Vol 8 (2) ◽

pp. 105

Author(s):

Artha Gilang Saputra ◽

Ema Utami ◽

Hanif Al Fatta

Keyword(s):

Convex Hull ◽

Gesture Recognition ◽

Recognition System ◽

Hand Gesture Recognition ◽

Hand Gesture ◽

Input Device ◽

Human Beings ◽

Light Conditions ◽

Hand Gestures ◽

Voice Communication

Research of Human Computer Interaction (HCI) and Computer Vision (CV) is increasingly focused on advanced interface for interacting with humans and creating system models for various purposes. Especially for input device problem to interact with computer. Humans are accustomed to communicate with fellow human beings using voice communication and accompanied by body pose and hand gesture. The main purpose of this research is to applying the Convex Hull and Convexity Defects methods for Hand Gesture Recognition system. In this research, the Hand Gesture Recognition system designed with the OpenCV library and then receives input from the user's hand gesture using an integrated webcam on the computer and system generates a language output from the hand-recognizable gestures. Testing involves several variables which affect success in recognizing user's hand gestures, such as hand distance with webcam, corner of the finger, light conditions and background conditions. As a result, the user's hand gestures can be recognized with a stable and accurate when at a distance of 50cm-70cm, corner of the finger 25o–70o, light conditions 150lux-460lux and plain background conditions.

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Real-Time Hand Gesture Detection Using Convex Hull and Contour Edge Detection

10.1007/978-981-16-1342-5_26 ◽

2021 ◽

pp. 325-335

Author(s):

Smriti Amatya ◽

Ishika ◽

M. V. Manoj Kumar ◽

B. S. Prashanth ◽

H. R. Sneha ◽

...

Keyword(s):

Convex Hull ◽

Edge Detection ◽

Real Time ◽

Hand Gesture ◽

Hand Gesture Detection

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Gpad and Fuzzy Logic based Assistance System for Disabled People

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.34.18708 ◽

2018 ◽

Vol 7 (3.34) ◽

pp. 21

Author(s):

Harshal Mumbaikar ◽

Guga Priya

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Automatic Control ◽

Fuzzy Logic Control ◽

Ultrasonic Sensor ◽

Assistance System ◽

Hand Gesture ◽

Disabled People ◽

Logic Control ◽

Ir Sensor

This paper presents an assistance system for differentially abled people. It consists of Fuzzy logic control system and GpaD hand gesture technique to provide smooth and automatic control of the wheelchair in the presence of obstacles. The ultrasonic sensor is used for detecting obstacles. Actions in forward, reverse, right and left directions are taken care by GpaD which is based on IR sensor. Fuzzy logic controls the breaking power. The breaking power is based on the speed of the wheelchair and the distance between the wheelchair and an obstacle. The main purpose of this paper is to improve the safety of the differentially abled people and can be supervised from long distances without anybody’s help.

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Hand gesture recognition using average background and logical heuristic equations

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v11i5.1149 ◽

2013 ◽

Vol 11 (5) ◽

pp. 2634-2640

Author(s):

Hazem Khaled Mohamed ◽

S. Sayed ◽

El Sayed Mostafa ◽

Hossam Ali

Keyword(s):

Convex Hull ◽

Gesture Recognition ◽

Background Subtraction ◽

Reference Model ◽

Region Of Interest ◽

Recognition Algorithm ◽

Hand Gesture Recognition ◽

Hand Gesture ◽

Subtraction Technique ◽

Heuristic Technique

This paper introduces a hand gesture recognition algorithm for Human Computer Interaction using real-time video streaming .The background subtraction technique is used to extract the ROI (Region Of Interest) of the hand. Fingertip is detected using logical heuristics equations that are applied on hand contour , convex hull and convexity defects points. A combination between background subtraction and logical heuristic technique that leads to more accurate results is introduced. Experimental results prove that the proposed algorithm improve the finger's tips detection by 52 % compared to the reference model.

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