Real Time Hand Gesture Recognition System for Dynamic Applications

Rautaray, Siddharth Swarup

doi:10.5121/iju.2012.3103

Cited by 82 publications

(42 citation statements)

References 10 publications

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“…The sensing device such as webcam captures the movement made by pen, stylus or hand [12], and then the computer analyzes the captured movement and interprets operations on computer [6].…”

Section: Hardware Setup Of Interactive Whiteboardmentioning

confidence: 99%

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Human Computer Interaction Model based Virtual Whiteboard: A Review

Kudale¹,

Wanjale²

2015

IJCA

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Interactive whiteboard involving human interaction have been an active field of research in past years in human computer interaction (HCI). There is a need for adoption of natural interfaces between user and computing devices. This is trending in educational as well as corporate sector where various interactive application, tools and methodologies are used to make the presentation, summarization of difficult concepts easy and also to simulate collaborative work and enhance teaching practices. For Instance, it is a common practice to draw business processes on a traditional whiteboard, using conventional modeling notation such as UML, BPMN, during meetings between software programmers and business clients. Since it is a traditional whiteboard, software developer may need to redesign the process diagram on his computer by referring the whiteboard, this can be time consuming. Alternative way will be to use pen-based input device such as an electronic interactive whiteboard or graphics tablet. Use and working of interactive whiteboard have received researchers' attention as it has been found to be easy and highly effective interaction method. This paper presents a short review for interactive whiteboard technology and its operations proposed in the literature. Some examples of applications are also investigated.

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“…The sensing device such as webcam captures the movement made by pen, stylus or hand [12], and then the computer analyzes the captured movement and interprets operations on computer [6].…”

Section: Hardware Setup Of Interactive Whiteboardmentioning

confidence: 99%

“…Mostly the interactive whiteboard are controlled by using hand/finger [12] [7], stylus, pen [2] etc. Also natural interaction can be easily associated with the system [7].…”

Section: Introductionmentioning

confidence: 99%

Human Computer Interaction Model based Virtual Whiteboard: A Review

Kudale¹,

Wanjale²

2015

IJCA

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“…In the early days of this research, mechanical data gloves such as the CyberGlove were used to obtain information on hand motions [2,4]. In this approach, users had to wear burdensome, uncomfortable data gloves that limited the natural movements of their hands.…”

Section: Related Workmentioning

confidence: 99%

“…The Wii is also popular with gamers, and employs an ordinal user interface to support more realistic human-machine interaction. More recently, hand-gesture-based interfaces [1][2][3][4][5][6][7] have emerged as a promising interaction technique due to their natural properties. In the real world, humans generally manipulate objects by moving their hands or fingers.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Hand Gesture-Based Interaction with Objects in 3D Virtual Environments

Kim¹,

Kim²,

Yoo

2013

IJMUE

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“…On the basis of this recognition takes place in two ways like static hand posture recognition, dynamic hand gesture recognition. In spite of static hand gestures [18,19] dynamic hand gestures gives good communication results with the help of motion information and some gestures are based on RGB-D sensors [17]. Approaches for hand gesture recognition are classified as vision based and data gloves based [1,12,13].…”

Section: Introductionmentioning

confidence: 99%

Real Time Hand Detection & Tracking for Dynamic Gesture Recognition

Dixit¹,

Agrawal²

2015

IJISA

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Abstract-In the recent year gesture recognition has become the most intuitive and effective communication technique for human interaction with machines. In this paper we are going to work on hand gesture recognition and interpret the meaning of it from video sequences. Our work takes place in following three phases: 1. Hand Detection & Tracking 2. Feature extraction 3. Gesture recognition. We have started proposed work with first step as applying hand tracking and hand detection algorithm to track hand motion and to extract position of the hand. Trajectory based features are being drawn out from hand and used for recognition process and hidden markov model is being design for each gesture for gesture recognition. Hidden Markov Model is basically a powerful statistical tool to model generative sequences. Our method is being tested on our own data set of 16 gestures and the average recognition rate we have got is 91%. With proposed methodology gives the better recognition results compare with the traditional approaches such as PCA, ANN, SVM, DTW and many more.Index Terms-Haar Cascade, Adaboost Algorithm, Hidden Markov Model, Douglas Peucker Algorithm.

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Real Time Hand Gesture Recognition System for Dynamic Applications

Abstract: Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis

Cited by 82 publications

References 10 publications

Human Computer Interaction Model based Virtual Whiteboard: A Review

Human Computer Interaction Model based Virtual Whiteboard: A Review

Real-Time Hand Gesture-Based Interaction with Objects in 3D Virtual Environments

Real Time Hand Detection & Tracking for Dynamic Gesture Recognition

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