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Indoor and Outdoor Detection from Mobile Sensor Data

ФИО студента: Roman Aleksandrov

Руководитель: Attila Kertesz-Farkas

Кампус/факультет: Faculty of Computer Science

Программа: Applied Mathematics and Information Science (Bachelor)

Оценка: 8

Год защиты: 2016

Indoor/Outdoor localization based on Received Signal Strength (RSS) is a classification problem which rises a question is signal sender is indoor or outdoor. It is rather new problem in mobile position localization. However this trouble became interesting to many big mobile companies. Information of indoor/outdoor localization could help them improve preference of the mobile connection. In our paper we present an approach of using RSS and test 3 algorithms: k-Nearest Neighbors, Support Vector Machine, Logistic Regression on two different data sets. Detailed numerical examples and graphics are included for all of the methods and data sets.

Full text (added May 25, 2016)

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