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Series in
Distributed Computing
edited by Roger Wattenhofer
Vol. 18
Samuel M. Welten
Sensing with
Smartphones:
Light Authentication, Heavy Personalization, and
Medical Applications
1st edition/1. Aufl.
2013, 194 pages/Seiten, € 64,00.
ISBN 978-3-86628-485-2
During
the last decade, the fast rise of smartphone distribution amongst the world’s
population has been evident. Initially expensive devices that only business
individuals could afford, smartphones are now found among all classes and age
ranges of the population.
Early
smartphones featured only minimal internal sensors with targeted usage
scenarios in mind. For example, the accelerometer was mainly built into the
first iPhone to adapt the display content to the screen orientation. With the
introduction of the app and app-store concept, developers started using the
sensors in their own unique ways.
This
thesis focuses on the further extension of the sensing capabilities of
smartphones and demonstrates how they can be used to sense and understand its
user. First, we show that the touch screen of an Android device can be used to
detect who is using it, due to the touch pattern of a person being unique.
Second, we extend the capabilities by sensing the characteristics of the gait
when the phone is in the pocket. The novelty of our method lies in the fact
that the phone does not need to be placed in a certain orientation to achieve
high recognition rates.
We
then widen our focus to external wireless sensors for context sensing. An
important part of the context of a person may be medical parameters. We
therefore present two systems that rely on custom external sensors to measure
health-relevant parameters: UV radiation and foot pressure distribution. In
both cases the phone acts as a general purpose computation and interaction
platform.
In
the last part, we show that analyzing the behavior of the user can be applied
to mobile music recommendations in two scenarios. To do so, we define a music
similarity measure that is based on the listening behavior of many persons, as
well as social tags, applicable to millions of artists and tracks. For the
first application, we apply this knowledge to define the music taste of a user,
based on the songs stored on the smartphone in order to extend the music
collection through opportunistic ad hoc file sharing. Second, we describe the
implementation of a smart meta-radio that uses thousands of publicly available
Internet radio stations and seamlessly switches between them to offer a
personalized listening experience.
About
the Author:
Samuel Welten
received his M.Sc. degree in information technologies and electrical
engineering from ETH Zurich, Switzerland, in 2009. In 2010 he joined the
Distributed Computing Group of Professor Roger Wattenhofer
at ETH Zurich as a Ph.D. student and research assistant. In 2013 he earned his
Ph.D. degree for his work on new applications of internal and external
smartphone sensors.
Keywords: smartphone, sensors, touch
screen, authentication, UV radiation, GPS, music embedding, file sharing,
personalized radio
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