Finalgesture22

Post on 19-Jun-2015

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gesture recognition

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GESTURERECOGNITION

BySandeepreddy

What are gestures Types of gestures What is Gesture Recognition ? Working Types of Gesture Recognition Types of Gesture Sensing Technology Technology Behind It Uses Of Gesture Recognition Gesture Recognition Challenges Conclusion

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Military air marshals use hand and body gestures to direct flight operations aboard aircraft carriers.

Example

Interface with computers using gestures of the

human body, typically hand movements.

Gesture recognition is an important skill for robots that work closely with humans.

Gesture recognition is especially valuable in applications involving interaction human/robot for several reasons.

What is Gesture Recognition ?

Basic working of Gesture Technology

Facial Gesture Recognition creates an effective non-contact interface between user and their machines

The goal of facial Gesture Recognition is to make machine effectively understand human

emotions , regardless of the countless physical differences between individuals

Facial Gesture Recognition

Types of Gesture Recognition

Hand gesture recognition technology allows operations of complex machines using only a series of fingers and hand movements , eliminating the need of physical contact between operator and machine

Hand Gesture Recognition

Certain types of gesture recognition software can transcribe the symbols represented through sign language into text

Effective sign language recognition can help the deaf people to communicate with both other people as well as the machine

Sign Language Recognition

Device-based techniques use a glove, stylus, or other position tracker, whose movements send signals that the system uses to identify the gesture.

The glove is equipped with a variety of sensors to provide information about hand position, orientation, and flex of fingers.

Device sensing technology

Types of Gesture Sensing Technology

Proximity of a human body or body part can be measured by sensing electric fields .

These measurements can be used to measure the distance of a human hand or other body part from an object; this facilitates a vast range of applications for a wide range of industries.

Electrical Field Sensing Technology

There are two approaches to vision based gesture recognition:

Model based techniques:

They try to create a three dimensional model of the users hand and use this for recognition. Image based

methods:Image-based techniques

detect a gesture by capturing pictures of a user’s motions during the course of a gesture.

Vision based technology

Technology Behind It:-

These can provide input to the computer about the position and rotation of the hands using magnetic or inertial tracking devices.

The first commercially available hand-tracking glove-type device was the Data Glove , a glove-type device which could detect hand position, movement and finger bending.

This uses fiber optic cables running down the back of the hand. Light pulses are created and when the fingers are bent, light leaks through small cracks and the loss is registered, giving an approximation of the hand pose.

Wired gloves:-

A Stereo camera is a camera that has two lenses about the same distance apart as your eyes and takes two pictures at the same time. This simulates the way we actually see and therefore creates the 3D effect when viewed.

Using two cameras whose relations to one another are known, a 3D representation can be approximated by the output of the cameras.

Stereo cameras:-

Using specialized cameras such as structured light or time-of-flight cameras, one can generate a depth map of what is being seen through the camera at a short range, and use this data to approximate a 3d representation of what is being seen.

These can be effective for detection of hand gestures due to their short range capabilities.

Depth-aware cameras.

An infrared camera is a device that detects infrared radiation(temperature) from the target object and converts it into an electronic signal to generate a thermal picture on a monitor or to make temperature calculations on it.

The temperature which is captured by an infrared camera can be measured or quantified exactly, so that not only the thermal behavior can be observed but also the relative magnitude of temperature related problems can be recognized and noted.

Thermal cameras:

These controllers act as an extension of the body so that when gestures are performed, some of their motion can be conveniently captured by software. 

Mouse gestures are one such example, where the motion of the mouse is correlated to a symbol being drawn by a person's hand, as is the Wii Remote, which can study changes in acceleration over time to represent gestures.

Controller –based gestures:-

Uses Of Gesture RecognitionSocially assistive robotics:-

Sign language recognition:-

By using proper sensors worn on the body of a patient and by reading the values from those sensors, robots can assist in patient rehabilitation. The best example can be stroke rehabilitation.

Just as speech recognition can transcribe speech to text, certain types of gesture recognition software can transcribe the symbols represented through sign language into text.

Virtual controllers:-

Remote control:-Through the use of gesture recognition, remote control with the wave of a hand of various devices is possible.

For systems where the act of finding or acquiring a physical controller could require too much time, gestures can be used as an alternative control mechanism. Controlling secondary devices in a car, or controlling a television set are examples of such usage.

Lack of Gesture LanguageDifferent users make gestures differently, causing difficulty in identifying motions

RobustnessMany gesture recognition systems do not read motions accurately or optimally due to factors like insufficient background light, high background noise etc

Gesture Recognition Challenges

The importance of gesture recognition lies in

building efficient human machine interaction. gesture recognition promises wide-ranging applications in fields from photojournalism through medical technology to biometrics.

Conclusion

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