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Zaznavanje človeških funkcij z uporabo senzorjev in mobilnih naprav
ID SUSIČ, KLEMEN (Author), ID Trebar, Mira (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/ca525973-5a80-4965-8138-b9c3899ffb0c

Abstract
"Wearable Health Technology" je eno od področij, ki za delovanje izkorišča različne senzorje in se zaradi napredka le-teh vse bolj uveljavlja. V diplomski nalogi je predstavljena mobilna rešitev za sisteme Android, ki posega na omenjeno področje in za delovanje uspešno vključuje uporabne senzorske tehnologije. Cilj obravnavane tematike je izvedba avtomatizirane mobilne rešitve na pametnem telefonu za obvešcanje ob srčnih zastojih in padcih oseb v primerih, ko si te ne morejo same pomagati. Za razvoj omenjene aplikacije so bile uporabljene napredne tehnologije, kot so senzorji srčnega utripa BLE (angl. Bluetooth Low Energy), pospeškometri in sistem GPS (angl. Global Positioning System), ter nekaj sorodnih tehnologij, ki so vključene kot predmet raziskave. V osrednjem delu sta predstavljena implementacija in opis načrtovanih algoritmov za ugotavljanje padca in načinov gibanja, ki skrbijo za pravilno integracijo in komunikacijo uporabljenih tehnologij. Predstavitve ključnih aktivnosti, strukturne zasnove, delovanje mobilne rešitve in funkcionalnosti so podane v zadnjem delu, ki poleg omenjenega vsebuje še rezultate testiranj in analizo izboljšav na posameznih modulih.

Language:Slovenian
Keywords:senzorji, GPS, BLE, pospeškometer, Android
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2017
PID:20.500.12556/RUL-99001 This link opens in a new window
Publication date in RUL:19.12.2017
Views:1317
Downloads:248
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Secondary language

Language:English
Title:Detection of human functions with sensors and mobile devices
Abstract:
Wearable Health Technology is one of the fields that uses different sensors for operation. Due to development of sensors technology this field is more and more popular. In the thesis is presented a mobile solution for Android system, which takes part of this field and uses different sensors technologies. The main goal is to achieve an automated solution for mobile device that can inform others in case of falling or heart attack of a person. In the development of this solution were used technologies like heart rate BLE (Bluetooth Low Energy) sensors, accelerometers, GPS (Global Positioning System) and some others that are part of research. Focus in the second part is put on individual implementation of technologies and used algorithms for detect falling and different movements. Presentation of main activities, structural composition, functionality and app working are described in third part, which additionally includes the results of testing and future improvements of individual modules.

Keywords:sensors, GPS, BLE, accelerometer, Android

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