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Identifying smartphone users based on smartwatch data
Descriptive
TitleInfo
Title
Identifying smartphone users based on smartwatch data
Name
(type = personal)
NamePart
(type = family)
Varshney
NamePart
(type = given)
Sidhika
NamePart
(type = date)
1992-
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Sidhika Varshney
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(authority = RULIB)
author
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NamePart
(type = family)
Lindqvist
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Janne
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Janne Lindqvist
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Advisory Committee
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chair
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Trappe
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Wade
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Wade Trappe
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Advisory Committee
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internal member
Name
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NamePart
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Patel
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Vishal M.
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Vishal M. Patel
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
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2017
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2017-01
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2017
Place
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xx
Language
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eng
Abstract
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In recent years, smartphones have become part and parcel of peoples life. Smartphones are used for all day-to-day critical tasks like money transfer, storing important documents and other information. This thesis presents, a user identification system based on smartwatch data. For identification of a user, walking activity and call receiving activity are analyzed when the phone is on the table and in pocket or bag. The recorded data from four smartwatch sensors enables the calculation of mean, variance, skewness, and gamma distribution parameters. These features are used to train the model. The presented system was tested on 20 participants and has an Equal Error Rate (EER) of 0.052.
Subject
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Topic
Electrical and Computer Engineering
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_7840
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xi, 62 p. : ill.)
Note
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M.S.
Note
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Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Identification
Subject
(authority = ETD-LCSH)
Topic
Smartwatches
Subject
(authority = ETD-LCSH)
Topic
Smartphones
Note
(type = statement of responsibility)
by Sidhika Varshney
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T3154KHD
Genre
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ETD graduate
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Varshney
GivenName
Sidhika
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2017-01-10 13:44:16
AssociatedEntity
Name
Sidhika Varshney
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Affiliation
Rutgers University. Graduate School - New Brunswick
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Type
License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
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2017-01-31
DateTime
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2018-01-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 31st, 2018.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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windows xp
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2017-01-08T12:50:19
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2017-01-08T12:50:19
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