Name
Abstract | ||
|---|---|---|
In this paper we present an approach for recognizing free-handed gestures using an embedded wireless accelerometric bracelet. We developed a very low complexity algorithm which can be directly implemented on the device and operate in real-time. New gestures can be easily added through supervised learning. An evaluation shows the feasibility of our approach. Simple gestures are detected and recognized at a very high rate ( 97%) while more complex ones were misclassified more often (48% --- 95%). |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02710-9_57 | HCI (6) |
Keywords | Field | DocType |
high rate,embedded wireless,accelerometric bracelet,free-handed gesture,ubiquitous gesture-based interaction,supervised learning,simple gesture,new gesture,low complexity algorithm,real time | Wireless,Gesture,Computer science,Gesture recognition,Supervised learning,Speech recognition | Conference |
Volume | ISSN | Citations |
5615 | 0302-9743 | 8 |
PageRank | References | Authors |
0.98 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Hein | 1 | 31 | 6.51 |
| André Hoffmeyer | 2 | 8 | 1.32 |
| Thomas Kirste | 3 | 93 | 18.37 |