Pregled bibliografske jedinice broj: 716079
User-Dependent Gesture Recognition on Android Handheld Devices
User-Dependent Gesture Recognition on Android Handheld Devices // Proceedings of SoftCOM 2014
Split, Hrvatska, 2014. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 716079 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
User-Dependent Gesture Recognition on Android Handheld Devices
Autori
Marasović, Tea ; Papić, Vladan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of SoftCOM 2014
/ - , 2014
ISBN
978-953-290-051-4
Skup
22nd International Conference on Software, Communications and Computer Networks (SoftCOM 2014)
Mjesto i datum
Split, Hrvatska, 17.09.2014. - 19.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
human-computer interaction; gesture recognition; acceleration; Android
Sažetak
Nowadays, many mobile devices are equipped with built-in inertial sensors. This spurred the research on new forms of communication between man and machines based on the movements or “gestures” performed by the user when holding the device. Here we discuss a gesture recognition system for controlling mobile devices with a wide range of possible practical applications. The system was designed to run in real-time on a resource-constrained platform and therefore has a low computational complexity. The paper describes a GestWiz user application for Android operating system which uses the data from a single triaxial accelerometer to recognize a collection of 9 different hand gestures. The system’s performance was evaluated off-line, using a gesture dataset, and on-line, through the series of user tests with the application being executed on a smartphone.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Tea Marasović
(autor)