KINECT MOTION TECHNOLOGY

CONTENTSINTRODUCTIONLITERATURE SURVEYCONCEPTSREAL TIME CASE STUDIESAPPLICATIONSCOMPARISONSADVANTAGES AND DISADVANTAGESRESULT ANALYSISCONCLUSIONSREFERENCES

INTRODUCTION

Kinect motion technology uses a sensor device

called kinect,a 3D scanner which interprets 3D

scene information from a continuously projected

infrared structured light.

Is used for:

–Xbox 360 console

–Windows PCs

–Robots

ContdKinect was developed by microsoft .

Enables users to control and interact with the

application/game.

–Without the need to touch a game controller .

–Through a natural user interface .

–Using gestures and spoken commands .

What is NUI ?

Natural User Interface: An Invisible Interface Direct Manipulation Gestural interfaces

LITERATURE SURVEY

PAPER 1

Skeleton Tracking using Kinect Sensor

&Displaying in 3D Virtual Scene

-ChanjiraSinthanayothin, Nonlapas Wongwaen,

Wisarut Bholsithi.

(IJACT-2012).

PAPER 2

Motion Detection Real Time 3D Walkthrough in

Limkokwing University of Creative Technology

(Modet-Walk) using Kinect XBox

-Behrang Parhizkari,Kanammal Sandrasekaran

and Arash Habibi Lashkari(IJCSI-2012).

KINECT SYSTEM

Consists of: 3D Depth sensor RGB camera Motorized tilt Multi-array microphones

KINECT SENSOR

3-D depth sensors

Three-dimensional sensors tracks the body within

the play space.

RGB camera

An RGB (640 × 480) pixels

helps identify and takes in-game pictures and

videos.

Multiple microphones

An array of microphones along the bottom, front

edge of the Kinect sensor are used for speech

recognition and chat.

Motorized tilt

A mechanical drive in the base of the Kinect

sensor automatically tilts the sensor head up and

down when needed.

PrimeSense 3D sensing technology

Kinect Features

Full-body 3D motion capture

Gesture recognition

Facial recognition

Voice recognition capabilities

Light Coding With Kinect:

Structured light is a form of active

triangulation.

In structured light,a known pattern

is projected onto the scene, and the

depth is calculated on the basis of the

triangulation between a known reference

pattern and observed reflected pattern.

Working:

Depth perception using the infrared camera

Methodology

Detected face and upper body regions in the RGB image

Software:

The poses of human skeleton is recognized with the help of machine learning algorithm called decision tree .

Construction of skeleton image

CASE STUDY

The TurtleBot is a customizable mobile robotic

platform that rides on an iRobot Create platform

.

The TurtleBot uses the Kinect to see the world

in 3D and for detecting and tracking people.

APPLICATIONSHealth Care

Virtual Piano

 

DepthJS

COMPARISIONS:

Topic NUI GUI

Ease User can learn

features easily

through natural

movements

New users may have a difficult time learning to use the mouse and all GUI features.

Speed Depends on the user

User must operate using mouse and keyboard

Strain No strain Shortcut keys are used

Example 3D immersive touch

Gnome shell

ADVANTAGES

No Data Input Device Required

Voice Recognition 

Facial Recognition 

Portable

DISADVANTAGES

Sensitive to external infrared source

(sunlight).

Cannot detect crystalline or highly reflective

objects.

 

RESULT ANALYSIS

Detection and tracking of one or two people

moving in the field of view of the sensor, using

the tracking of parts of the skeleton.

Capture audio with noise and echo

cancellation.

Speech Recognition.

CONCLUSION

This technique aims to provide an

application that uses gestures to interact with

virtual objects in an Augmented Reality

application.

Providing a way for using the gesture-based

interactions to manage operations in a virtual

walkthrough environment is a promising

approach.

REFERENCES

[1] http://www.wired.com/wiredscience/hacked-kinect-science/[2] http://en.wikipedia.org/wiki/Kinect[3] http://electronics.howstuffworks.com/microsoft-kinect.html[4] http://www.microsoft.com/en-us/kinectforwindows/ 

THANK YOU

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