EyePhone : Activating Mobile Phones With Your Eyes

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EyePhone: Activating Mobile Phones With Your Eyes Emiliano Miluzzo, Tianyu Wang, Andrew T. Campbell CS Department – Dartmouth College, Hanover, NH, USA

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EyePhone : Activating Mobile Phones With Your Eyes. Emiliano Miluzzo , Tianyu Wang, Andrew T. Campbell CS Department – Dartmouth College, Hanover, NH, USA. what is the future of sensing?. Emiliano Miluzzo. mobile phone sensing. Emiliano Miluzzo. mobile phone sensing. Emiliano Miluzzo. - PowerPoint PPT Presentation

Transcript of EyePhone : Activating Mobile Phones With Your Eyes

Page 1: EyePhone : Activating Mobile Phones With Your Eyes

EyePhone: Activating Mobile Phones With Your Eyes

Emiliano Miluzzo, Tianyu Wang, Andrew T. Campbell

CS Department – Dartmouth College, Hanover, NH, USA

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[email protected] Miluzzo

what is the future of sensing?

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mobile phone sensing

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mobile phone sensing

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mobile phone sensing

computationally capable(up to 2GHz CPU and

1 GB RAM)

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accelerometer

digital compass

microphone

WiFi/bluetooth GPS

light sensor/camera

gyroscope

air quality /pollution sensor

mobile phone sensing ….

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accelerometer

digital compass

microphone

WiFi/bluetooth GPS

light sensor/camera

gyroscope

air quality /pollution sensor

mobile phone sensing ….

light sensor/camera

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accelerometer

digital compass

microphone

WiFi/bluetooth GPS

light sensor/camera

gyroscope

air quality /pollution sensor

mobile phone sensing ….

light sensor/camera

camera

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front facing camera

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how can we use it?

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emotion assessment

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emotion assessment

in-car safety

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emotion assessment

human-phone interaction

in-car safety

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why HPI?

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human-computer interaction - HCI

because…

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human-computer interaction - HCI

human-phone interaction - HPI

because…

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human-computer interaction - HCI

human-phone interaction - HPI

because…

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• fairly ideal conditions for sensing

• array of sophisticated sensors

• subjects mostly static

• “sensing context” fairly constant

• subjects are on the move (video frames are blurred)

• limited sensing capabilities

• not ideal sensing context (dark, bright, etc.)

• hardware limitations

HPIHCI

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EyePhone

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mapping the position of the eye to an application icon on the phone display

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mapping the position of the eye to an application icon on the phone display

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mapping the position of the eye to an application icon on the phone display

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the selected application (e.g., music) is activated with a wink

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the selected application (e.g., music) is activated with a wink

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EyePhone design

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eye template creation

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eye template creation

offline for different environments

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

running on pc running on the N810

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye tracking

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye tracking

on every frame

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye trackingbased on a correlation function operating over the

current frame and the template on every frame

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye trackingbased on a correlation function operating over the

current frame and the template on every frame

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye trackingbased on a correlation function operating over the

current frame and the template on every frame

wink detection

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eye template creation

offline for different environments image differencing over a set of frames capturing ablink. The result is a binary image with the eye pair

eye trackingbased on a correlation function operating over the

current frame and the template on every frame

wink detectionbased on the correlation function values used in the

tracking phase

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evaluation

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C++ & OpenCV

implemented on the Nokia Tablet 810

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experimental results

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accuracy

steady, daylight

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accuracy

walking, daylight

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accuracy Vs distance from display

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accuracy Vs distance from display

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possible applications?

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beyond touch screen…

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let’s recap…

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let’s recap…

smartphone’s computation capabilities are growing

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let’s recap…smartphone’s computation capabilities

are growing

smarter open-eye template creation policies are needed(to be robust across different

context)

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let’s recap…smartphone’s computation capabilities

are growingsmarter open-eye template creation policies are

needed(to be robust across different context)

need for eye tracking techniques that are robust against context, mobility,

distance from display

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let’s recap…smartphone’s computation capabilities

are growingsmarter open-eye template creation policies are

needed(to be robust across different context)

need for eye tracking techniques that are robust against context, mobility, distance

from display more efficient false eye pair and “false” winks filtering to

avoid undesired app launches

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in brief…

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in brief…

mobile phone sensing andHPI technology are the

future!

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Thank you!

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Mobile Sensing Grouphttp://sensorlab.cs.dartmouth.edu