Name
Abstract | ||
|---|---|---|
This paper addresses learning and recognition of human behavior models from multimodal observation in a smart home environment. The proposed approach is part of a framework for acquiring a high-level contextual model for human behavior in an augmented environment. A 3-D video tracking system creates and tracks entities (persons) in the scene. Further, a speech activity detector analyzes audio stre... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TASE.2008.2004965 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Humans,Smart homes,Detectors,Speech analysis,Context modeling,Layout,Streaming media,Microphones,Acoustic noise,Working environment noise | Speech processing,Computer science,Contextual design,Speech recognition,Context awareness,Context model,Video tracking,Statistical model,Hidden Markov model,User interface | Journal |
Volume | Issue | ISSN |
6 | 4 | 1545-5955 |
Citations | PageRank | References |
54 | 2.64 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Brdiczka | 1 | 1076 | 57.49 |
| Matthieu Langet | 2 | 56 | 3.04 |
| Jérôme Maisonnasse | 3 | 192 | 10.67 |
| James L. Crowley | 4 | 3209 | 1274.79 |