Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
seminar projects crazy
Active In SP

Posts: 604
Joined: Dec 2008
31-01-2009, 12:52 AM

A primary goal of gesture recognition research is to create a system which can identify specific human gestures and use them to convey information or for device control. Interface with computers using gestures of the human body, typically hand movements. In gesture recognition technology, a camera reads the movements of the human body and communicates the data to a computer that uses the gestures as input to control devices or applications. For example, a person clapping his hands together in front of a camera can produce the sound of cymbals being crashed together when the gesture is fed through a computer.

A gesture is a form of non-verbal communication made with a part of the body, and used instead of verbal communication. It may also be defined as the motion of hands or body to emphasize or help to express a thought or feeling or the use of movements (especially of the hands) to communicate familiar or prearranged signals. Gestures are expressive and meaningful body motions used in daily life as a means of communication. Automatic gesture recognition systems using computer vision techniques may be useful in many contexts, including non-obtrusive human computer interfaces. For such environments, it is important that the systems are easily trained and fast enough to support interactive behavior.
Use Search at wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
Active In SP

Posts: 5
Joined: Mar 2011
09-03-2011, 12:50 PM

can you please give me the report and ppt.. asap its urgent.
project girl

Posts: 10,114
Joined: Nov 2012
01-01-2013, 03:33 PM

Gesture recognition

.docx   Gesture recognition.docx (Size: 419.37 KB / Downloads: 31)


Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques.[1]
Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse.
Gesture recognition enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices. Using the concept of gesture recognition, it is possible to point a finger at the computer screen so that the cursor will move accordingly. This could potentially make conventional input devices such as mouse, keyboards and even touch-screens redundant.

Gesture types

In computer interfaces, two types of gestures are distinguished. We consider online gestures, which can also be regarded as direct manipulations like scaling and rotating. In contrast, offline gestures are usually processed after the interaction is finished; e. g. a circle is drawn to activate a context menu.
In computer interfaces, two types of gestures are distinguished:We consider online gestures, which can also be regarded as direct manipulations like scaling and rotating. In contrast, offline gestures are usually processed after the interaction is finished; e. g. a circle is drawn to activate a context menu.


The ways of recognizing the gesture can be considered as a significant progress of the technology. Progress of image processing technology has played an important role here.
Gestures have been captured by using infrared beams, data glove, still camera, wired and many inter-connected technologies like gloves, pendant, infrared signal network server etc in the past.
Recent vision technique, video and web cam based gesture recognition has made it possible to capture any intuitive gesture for any ubiquitous devices from the natural environment with 3D visualization.
Lenman has developed a prototype for remote control of home electronics, such as TV and CD-player [14].
Gesture based research are now moving towards everyday application for even older adults with simple and inexpensive implementation.
Gesture recognition can be conducted with techniques from computer vision

Computer vision

Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[1][2][3] A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image.[4] This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.[5] Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.[6]
Applications range from tasks such as industrial machine vision systems which, say, inspect bottles speeding by on a production line, to research into artificial intelligence and computers or robots that can comprehend the world around them. The computer vision and machine vision fields have significant overlap. Computer vision covers the core technology of automated image analysis which is used in many fields. Machine vision usually refers to a process of combining automated image analysis with other methods and technologies to provide automated inspection and robot guidance in industrial applications.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.

Image Processing

An image defined in the “real world” is considered to be a function of two real variables, for example, a(x,y) with a as the amplitude (e.g. brightness) of the image at the real coordinate position (x,y).
In a sophisticated image processing system it should be possible to apply specific image processing operations to selected regions. Thus one part of an image (region) might be processed to suppress motion blur while another part might be processed to improve color rendition.
Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories: * Image Processing image in -> image out * Image Analysis image in -> measurements out * Image Understanding image in -> high-level description out Image processing is referred to processing of a 2D picture by a computer. Basic definitions:
An image defined in the “real world” is considered to be a function of two real variables, for example, a(x,y) with a as the amplitude (e.g. brightness) of the image at the real coordinate position (x,y).

Important Note..!

If you are not satisfied with above reply ,..Please


So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Tagged Pages: geasture recognition, gesture recognisation, automatic gesture recognition seminar, seminar topic on gesture recognition, gesture recogniaztion, topics to discuss on gesture based computing, contact machine vision inspection com loc es,
Popular Searches: conclusion of gesture recognition, total information about gesture technology, numberplate recognition, histogram in gesture recognition ppt, gesture recognition system, examination system for gesture recognition device, fingureprint recognition,

Quick Reply
Type your reply to this message here.

Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
  IRIS Recognition Technology ppt seminar ideas 1 651 06-04-2016, 03:23 PM
Last Post: mkaasees
Last Post: Guest
  VOICE RECOGNITION SYSTEM REPORT study tips 0 329 30-07-2013, 03:58 PM
Last Post: study tips
  DESIGN GESTURE RECONGNISATION PPT study tips 0 372 05-07-2013, 01:52 PM
Last Post: study tips
  FACE RECOGNITION USING Neural Network computer science crazy 7 4,633 17-05-2013, 04:11 PM
Last Post: study tips
  HAND GESTURE : FOR HUMAN MACHINE INTERACTION science projects buddy 4 5,528 15-05-2013, 07:18 AM
Last Post: Guest
Last Post: study tips
Last Post: study tips
  Road sign detection and recognition system for real-time embedded applications study tips 0 418 06-03-2013, 11:23 AM
Last Post: study tips
  Fingerprint Recognition future directions full report seminar topics 11 12,040 18-02-2013, 06:56 PM
Last Post: Guest