Name
Title | ||
|---|---|---|
Gesture Spotting for Controlling a Mobile Assistance System for Service and Maintenance. |
Abstract | ||
|---|---|---|
As information technology interweaves with our daily environment, new modes of interaction will be required. In this paper, we suggest a gesture-based approach and present a prototypical case study for a gesture controlled mobile assistant system for an industrial application domain. We discuss a number of design requirements, that are common to gesture-based interaction techniques, describe the resulting system architecture, as well as the training and recognition process, and an experimental evaluation. We will show that even without too much effort such a system can be realized with standard hardware and algorithms, and still achieve very robust recognition results. |
Year | Venue | Field |
|---|---|---|
2012 | GI Jahrestagung | Gesture spotting,Gesture,Computer science,Information technology,Human–computer interaction,Application domain,Systems architecture,Embedded system |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Hein | 1 | 31 | 6.51 |
| Thomas Low | 2 | 6 | 1.97 |
| Maximilian Hensch | 3 | 0 | 0.34 |
| Thomas Kirste | 4 | 93 | 18.37 |
| Andreas Nürnberger | 5 | 960 | 103.52 |