Naslov
A Novel Feature Descriptor for Gesture Classification Using Smartphone Accelerometers

Autori
Marasović, Tea ; Papić, Vladan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 18th IEEE International Symposium on Computers and Communications (ISCC 2013) / - , 2013

Skup
18th IEEE International Symposium on Computers and Communications (ISCC 2013)

Mjesto i datum
Split, Hrvatska, 07.07.2013. - 10.07.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
3-axis accelerometer; gesture recognition; feature extraction; HCI

Sažetak
Since gestures are a natural form of human expression, gesture-based interfaces can serve as an alternative interaction modality with numerous aspects to be utilized in human computer interaction. In this paper, we address the issue of finding a compact but effective set of features for a robust gesture recognition, using a single 3-axis accelerometer. A novel feature extraction scheme, that allows the gesture form to be clearly discriminated, is proposed. Fuzzy k-Nearest Neighbour classifier is used for recognition of gestures in transformed feature space. The experiments, conducted on an custom gesture vocabulary, reveal that Histogram of Direction (HoD) descriptor, in conjunction with statistical features, produces a highly competitive performance, in terms of recognition accuracy.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA