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dc.contributor.advisor Aly, Sherif
dc.contributor.author Abdel Samie, Mohamed
dc.date.accessioned 2014-12-23T10:36:23Z
dc.date.available 2014-12-23T22:00:09Z
dc.date.created 2014 Fall en_US
dc.date.issued 2014-12-23
dc.identifier.uri http://dar.aucegypt.edu/handle/10526/4224
dc.description.abstract Context awareness is an approach that has been receiving increasing focus in the past years. A context aware device can understand surrounding conditions and adapt its behavior accordingly to meet user demands. Mobile handheld devices offer a motivating platform for context aware applications as a result of their rapidly growing set of features and sensing abilities. This research aims at building a situational awareness model that utilizes multimodal sensor data provided through the various sensing capabilities available on a wide range of current handheld smart phones. The model will make use of seven different virtual and physical sensors commonly available on mobile devices, to gather a large set of parameters that identify the occurrence of a situation for one of five predefined context scenarios: In meeting, Driving, in party, In Theatre and Sleeping. As means of gathering the wisdom of the crowd and in an effort to reach a habitat sensitive awareness model, a survey was conducted to understand the user perception of each context situation. The data collected was used to build the inference engine of a prototype context awareness system utilizing context weights introduced in [39] and the confidence metric in [26] with some variation as a means for reasoning. The developed prototype’s results were benchmarked against two existing context awareness platforms Darwin Phones [17] and Smart Profile [11], where the prototype was able to acquire 5% and 7.6% higher accuracy levels than the two systems respectively while performing tasks of higher complexity. The detailed results and evaluation are highlighted further in section 6.4. en_US
dc.format.extent 115 p. en_US
dc.format.medium theses en_US
dc.language.iso en en_US
dc.rights Author retains all rights with regard to copyright. en
dc.subject Pervasive Computing en_US
dc.subject Situation awareness en_US
dc.subject context awareness en_US
dc.subject.lcsh Thesis (M.S.)--American University in Cairo en_US
dc.subject.lcsh Ubiquitous computing.
dc.subject.lcsh Situational awareness.
dc.subject.lcsh Context-aware computing.
dc.title Human centric situational awareness en_US
dc.type Text en_US
dc.subject.discipline Computer Science en_US
dc.rights.access This item is available en_US
dc.contributor.department American University in Cairo. Dept. of Computer Science and Engineering en_US
dc.description.irb American University in Cairo Institutional Review Board approval is not necessary for this item, since the research is not concerned with living human beings or bodily tissue samples. en_US
dc.contributor.committeeMember Amr, El-Kadi
dc.contributor.committeeMember Mohamed, Shalan
dc.contributor.committeeMember Tamer, Elbatt


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  • Theses and Dissertations [1733]
    This collection includes theses and dissertations authored by American University in Cairo graduate students.

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