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Develop Store Apps with Kinect for Windows v2

Matteo Valoriani Clemente Giorio

Matteo Valoriani

CEO ofSpeaker and ConsultantPhD at Politecnico of Milano

Microsoft MVP

Intel Software Innovator

mvaloriani@gmail.com

@MatteoValoriani

https://it.linkedin.com/in/matteovaloriani

Nice to Meet You

2

Clemente Giorio

Senior Developer at

Speaker, Author and Instructor

Microsoft MVP

email Clemente.Giorio@live.com

@Tinux80

http://it.linkedin.com/pub/clemente-giorio/11/618/3a

Nice to Meet You

3

Agenda

• Store App

• Body Frame

• Coordinate Mapper

• Kinect Studio

• Gesture Recognition

• Gesture Builder

• Intro

• The Sensor

• Data Source

• Kinect Evolution

• Data Source

Usage Scenarios

TRAININGRETAIL HEALTHCARETHERAPY EDUCATION

“Any sufficiently

advanced

technology is

indistinguishable

from magic”

(Arthur C. Clarke)

You have to be a

magician…

… or at least a

good illusionist

Sensor Anatomy

Kinect 2 - Specs

3D DEPTH SENSOR

RGB CAMERA

MULTI-ARRAY MIC

Hardware:

Depth resolution:512×424

RGB resolution:1920×1080 (16:9)

FrameRate:30 FPS

Mic resolution:48 kHz

Kinect Adapter

Data Source Details

Kinect Data Sources

1920 x 1080 array of color pixels• 30 or 15 fps, based on lighting

conditions

Elaborated Image Format:

RGBA, BGRA, YUY2, …

Raw Data: YUY2

ColorFrameSource

Ambient light removed

InfraredFrameSource

Range: 0.5 near – 4.5meters far

(Extended Depth to 8m)

Pixel Data16-bit distance in millimeters from the sensor’s

focal plane

DepthFrameSource

Pixel Data 0 to 5: Index of the corresponding body, as

tracked by the body source

> 5: No tracked body at that pixel

BodyIndexFrameSource

255

0 1

Demo

Kinect Evolution

Kinect 2 vs Kinect 1

Version 1 Version 2

Depth range 0.4m → 4.0m 0.5m → 4.5m

Color stream 640×480@30fps 1920×1080@30fps

Depth stream 320×240 512×424

Infrared stream None 512×424

Type of Light Light coding ToF

Audio stream 4-mic array 16 kHz 4-mic array 48 kHz

USB 2.0 3.0

# Bodies Traked 2 (+4) 6

# Joints 20 25

Hand Traking External tools Yes

Face Traking Yes Yes+Expressions

FOV 57° H 43° V 70° H 60° V

Tilt Motorized Manual

System / Software Requirements

OS Windows 8, 8.1, Embedded 8, Embedded 8.1 (x64)

CPU Intel Core i7 (recommended)

RAM 4GB (o more reccomended)

GPU DirectX 11 (required)

USB USB 3.0 (Intel or Renesas chipsets)

Compiler Visual Studio 2012, 2013 (Supported Express)

Language Native (C++), Managed (C#,VB.NET), WinRT (C#,HTML)

Other Unity (Plugin), Cinder, openFrameworks (wrapper)

Accessing Kinect Data

Sources

Multiple

Kinect-enabled

applications can

run simultaneously

High-level architecture

Basic Flow of Programming

Sensor Stream Frame Data

Sensor Source Reader Frame Data

Kinect for Windows SDK v1

Kinect for Windows SDK v2

Source independent to each Data(e.g. ColorSource, DepthSource, InfraredSource, BodyIndexSource, BodySource, …)

Doesn’t depend on each other Source(e.g. Doesn't need to Depth Source when retrieve Body Data)

In “New Project” create a new Windows Store app

Enable Microphone and Webcam capabilities

Add a reference to Microsoft.Kinect

Use the Microsoft.Kinect namespace in your code

Creating a new store app using Kinect

Represents a single physical sensor

Always valid: when device is disconnected no more frame are generated.

Use IsAviable Property to verify if the device is connected

The KinectSensor class

this KinectSensorthis// Make the world a better place with Kinectthis

Sources

Give access to frames– Events

– Polling

Multiple readers may be

created on a single source

Readers can be paused

Readers

InfraredFrameReader reader = sensor.InfraredFrameSource.OpenReader();

reader.FrameArrived += InfraredReaderFrameArrived;

...

Frame references

void InfraredFrameReaderInfraredFrameArrivedEventArgs

using (InfraredFrame frame = args.FrameReference.AcquireFrame())

{if (frame != null){

// Get what you need from the frame}

}}

Sent in frame event args

AcquireFrame gives access to the actual frame

• Gives access to the frame data– Make a local copy or access the underlying buffer directly

• Contains metadata for the frame– e.g. Color: format, width, height, etc.

• Important: Minimize how long you hold onto the frame– Not Disposing frames will cause you to not receive more frames

Frames

• Allows the app to get a matched set of frames from multiple

sources on a single event

• Delivers frames at the lowest FPS of the selected sources

MultiSourceFrameReader

MultiSourceFrameReader MultiReader =Sensor.OpenMultiSourceFrameReader(FrameSourceTypes.Color |

FrameSourceTypes.BodyIndex |FrameSourceTypes.Body);

var frame = args.FrameReference.AcquireFrame(); if (frame != null) {

using (colorFrame = frame.ColorFrameReference.AcquireFrame())using (bodyFrame = frame.BodyFrameReference.AcquireFrame())using (bodyIndexFrame = frame.BodyIndexFrameReference.AcquireFrame()){

//}

}

Demo

Display frame in a

Windows Store App

Range is 0.5-4.5 meters

Frame data is a collection of Body objects each with 25 jointsEach joint has position in 3D space and an orientation

Up to 6 simultaneous bodies

30fps

Hand State on 2 bodies

Lean

BodyFrameSource

Skeleton vs Body

Improved reliability and accuracyMore reliable lock-on and more stable joints

More anatomically correct skeletonHips in the right place, new shoulder parent

Six players tracked at all timesSimplified engagement, bystander involvement

Hand-tip and thumb jointsEnables subtle and more nuanced hand gestures

Per-joint orientationGreat for character retargeting

Skeletal Tracking Features

NU

I

ColorSpace (Coordinate System of the Color Image)

… Color

DepthSpace (Coordinate System of the Depth Data)

… Depth, Infrared, BodyIndex

CameraSpace (Coordinate System with the origin located the Depth Sensor)

… Body (Joint)

Coordinate System

Three coordinate systems

Coordinate mapper provides conversions between each system

Convert single or multiple points

Coordinate mapping

Name Applies to Dimensions Units Range Origin

ColorSpacePoint Color 2 pixels 1920x1080 Top left corner

DepthSpacePoint Depth,

Infrared,

Body index

2 pixels 512x424 Top left corner

CameraSpacePoint Body 3 meters – Infrared/depth

camera

Demo

Handle body frames and

coordinate mapping

Kinect Studio

#CDays15 – Milano 24, 25 e 26 Marzo 2015

Recording, Playback, and Gesture Recognition

Recordable Data Sources

Infrared

13 MB/s

Depth

13 MB/s

BodyFrame

BodyIndex

Color

120 MB/s

Audio

32 KB/s

Legend

Record/Play

Record Only

Gesture Recognition

New tool, shipping with v2 SDK

Organize data using projects and solutions

Give meaning to data by tagging gestures

Build gestures using machine learning technologyAdaptive Boosting (AdaBoost) Trigger

• Determines if player is performing gesture

Random Forest Regression (RFR) Progress

• Determines the progress of the gesture performed by player

Analyze / test the results of gesture detection

Live preview of results

Gesture Builder

Visual Gesture Builder

Your Application

Demo

Machine Learning Demo

Heuristic

• Gesture is a coding problem

• Quick to do simple

gestures/poses (hand over head)

• ML can also be useful to find

good signals for Heuristic

approach

Machine Learning (ML) with G.B.

• Gesture is a data problem

• Signals which may not be easily

human understandable (progress

in a baseball swing)

• Large investment for production

• Danger of over-fitting, causes you

to be too specific – eliminating

recognition of generic cases

Gesture Recognition

General Info & Blog ->http://kinectforwindows.com

Purchase Sensor -> http://aka.ms/k4wv2purchase

Developer Forums -> http://aka.ms/k4wv2forum

Twitter Account -> @KinectWindows

A Facebook Group -> http://on.fb.me/1LSflbX

A LinkedIn Group -> http://linkd.in/1J9gFcY

A Twitter Account -> @KinectDevelop

A Google Plus Page -> http://bit.ly/1SHtduT

Kinect Resources

Slides and Code will be available on:

http://www.dotnetcampus.it

THANK YOU!

Q&A