HeatWave CHI2011

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Thermal Imaging for Surface Interaction Eric Larson, Gabe Cohn, Sidhant Gupta Xiaofeng Ren, Dieter Fox, Beverly Harrison Shwetak Patel UbiComp Lab Heatwave: Design Use Build University of Washington Laboratory of Ubiquitous Computing University of Washington Intel Research 1

description

We present HeatWave, a system that uses digital thermal imaging cameras to detect, track, and support user interaction on arbitrary surfaces. Thermal sensing has had limited examination in the HCI research community and is generally under-explored outside of law enforcement and energy auditing applications. We examine the role of thermal imaging as a new sensing solution for enhancing user surface interaction. In particular, we demonstrate how thermal imaging in combination with existing computer vision techniques can make segmentation and detection of routine interaction techniques possible in real-time, and can be used to complement or simplify algorithms for traditional RGB and depth cameras. Example interactions include (1) distinguishing hovering above a surface from touch events, (2) shape-based gestures similar to ink strokes, (3) pressure based gestures, and (4) multi-finger gestures. We close by discussing the practicality of thermal sensing for naturalistic user interaction and opportunities for future work.

Transcript of HeatWave CHI2011

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Thermal Imaging for Surface Interaction

Eric Larson, Gabe Cohn, Sidhant GuptaXiaofeng Ren, Dieter Fox, Beverly Harrison

Shwetak Patel

UbiComp Lab

Heatwave:

Design Use BuildUniversity of Washington

Laboratory of Ubiquitous ComputingUniversity of Washington Intel Research

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Intel oasis

LCI Interactive Video

LCI - 55 Merthyr Terrace, Barnes, London, SW13 8DL - Telephone: +44(0) 20 8741 5747 - Email: [email protected] - Website: www.lci-uk.com

1. Scatter

Effect: ‘Objects’ scattering when approached or stepped on.

Media Options:

The Lower Layer: This can be a single image (up to 1024x768 pixels resolution) or a Video.

The Upper Layer: This is created from a single image that is multiplied across the screen area.

Variations in size, number and density.

Various ’behaviours’ can be adjusted to create a variety of effects. PNG files with transparencies

are particularly effective. A directory of images can also be used – the scattered image then runs

through this directory allowing animated objects to move around the screen area.

LCI Interactive Floor

SmartBoards4

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What is thermal infrared imaging?

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Wavelength

Visible InfraredUV

Sour

ce

Inte

nsity

Solar Reflection Thermal Radiation

RGB Depth Thermal

Near Far Infrared

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50mK

Co20 levels

Co

~6

120 levels

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Co

29-35

Co

18-26

skin temperature

room temperature

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MotionTouch down

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Thermal Camera Overhead projector

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HeatAbsorption

HeatRetention

Heat Transfer?30

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Conductivity

T

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Foam Plastic Wood Skin Glass Aluminum

0.04 0.23 0.4 0.5

1.1

>100

Thermal Conductivity

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25262728293031323334

1ms 10ms 100ms 1s 10s 100s

Skin

Foam Surface

Touch Down

Release Touch

50ms 200ms

Time (log scale)

Tem

pera

ture

(C

)Cooling/Warming

period

100s

40-50s

Hand

Room

Foam Plastic Wood Skin Glass Aluminum

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1ms 10ms 100ms 1s 10s 100s

Skin

Aluminum Surface

Touch Down

Release Touch

50ms 200ms

Time (log scale)

Tem

pera

ture

(C

)Cooling/Warming

period

100s

Room

Foam Plastic Wood Skin Glass Aluminum

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1ms 10ms 100ms 1s 10s 100s

Skin

Wooden Surface

Touch Down

Release Touch

50ms 200ms

Time (log scale)

Tem

pera

ture

(C

)Cooling/Warming

period

100s

2-3s

Foam Plastic Wood Skin Glass Aluminum

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Foam Plastic Wood Skin Glass Aluminum

Granite

Polymers

Plexi-glassPlaster

BrickWater

ClayRubberSalt

PaperTileMarble

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1ms 10ms 100ms 1s 10s 100s

Touch Down

Release Touch

50ms 200ms

Time (log scale)

Tem

pera

ture

(C

)Cooling/Warming

period

100s

Absolute C C

Derivative

x x >

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x10PlasticWoodPaperTable Top

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paper table top

woodplastic

100%d

ete

ctio

n a

ccu

racy

0%

100%

0%

Accuracy

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Pressure C

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Time (log scale)

Tem

pera

ture

(C

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2 N

0.5 N

Pressure

Contact Time, 50-200ms

Derivative

Absolute C

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3 pressure levels = 96% Accuracy41

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{~166ms

{

Derivative

25ms

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strokes

chording

hand prints

curves

multi-user pressure

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an interactive surface

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an interactive surface...

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Thermal Imaging for Surface Interaction

Gabe Cohn, Sidhant GuptaXiaofeng Ren, Dieter Fox, Beverly HarrisonShwetak Patel

UbiComp Lab

Heatwave:

Design Use BuildUniversity of Washington

Laboratory of Ubiquitous ComputingUniversity of Washington Intel Research

Eric [email protected]

ubicomplab.cs.washington.edu

*Ryder Ziola

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thermal

input image

spatial smoothing

(median filter)

hand segmentation

(Otsu thresholding)

surface

calibrated?

classify pressure

(trees classifier)

bayesian

inference

-high pressure

-medium pressure

-low pressure

-not heat trace

-hand

YesNo

detect lines

(Hough transform) save heat traces

temperature

temporal derivative

background subtraction

trajectory

Otsu segmentation

finger tip

analysis

video

buffer

user interface engine

not heat trace -

is heat trace -

feature

calculation

hand trajectory

search

detected heat trails

detected lines

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Categorization with Temperature Distribution of the Human Hand SurfaceHideyuki Kokubo, Mikio Yamamoto, Masahiko Hirasawa and Junko Taniguchi

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54

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InfraMation 2004, Proceedings Volume 5, 287-298 (2004) 9

Figure 14. Person as source for thermal reflections from a glass plate as observed through an IR

polarizer oriented perpendicular or parallel to the plane of incidence. 4.2) Varnished wood Varnished wood has very smooth surfaces, similar to thin films. Hence, specular reflections are to be expected, in particular for large angles of incidence. Fig. 15 depicts the visual image of a person leaning against a wooden wall of a lecture hall. The IR image immediately shows very pronounced thermal reflections. In Fig. 16, images of the same scene were recorded but looking through the Ge polarizer. Similar to Fig.14, the T-scale was changed to better demonstrate the suppression of the reflections.

Figure 15 Thermal reflections of a person from a wooden wall.

left: visual image; right: close up view with LW IR camera.

Figure 16. Suppression of thermal reflections from varnished) wood as observed through an IR

polarizer oriented perpendicular or parallel to the plane of incidence.

55

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InfraMation 2004, Proceedings Volume 5, 287-298 (2004) 9

Figure 14. Person as source for thermal reflections from a glass plate as observed through an IR

polarizer oriented perpendicular or parallel to the plane of incidence. 4.2) Varnished wood Varnished wood has very smooth surfaces, similar to thin films. Hence, specular reflections are to be expected, in particular for large angles of incidence. Fig. 15 depicts the visual image of a person leaning against a wooden wall of a lecture hall. The IR image immediately shows very pronounced thermal reflections. In Fig. 16, images of the same scene were recorded but looking through the Ge polarizer. Similar to Fig.14, the T-scale was changed to better demonstrate the suppression of the reflections.

Figure 15 Thermal reflections of a person from a wooden wall.

left: visual image; right: close up view with LW IR camera.

Figure 16. Suppression of thermal reflections from varnished) wood as observed through an IR

polarizer oriented perpendicular or parallel to the plane of incidence.

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