Sensor Networks for Ambient Intelligence

Abstract : Due to rapid advances in networking and sensing technology we are witnessing a growing interest in sensor networks, in which a variety of sensors are connected to each other and to computational devices capable of multimodal signal processing and data analysis. Such networks are seen to play an increasingly important role as key enablers in emerging pervasive computing technologies. In the first part of this paper we give an overview of recent developments in the area of multimodal sensor networks, paying special attention to ambient intelligence applications. In the second part, we discuss how the time series generated by data streams emanating from the sensors can be mined for temporal patterns, indicating cross-sensor signal correlations.
Document type :
Conference papers
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://halshs.archives-ouvertes.fr/halshs-01138508
Contributor : Romain Tavenard <>
Submitted on : Thursday, April 2, 2015 - 9:55:01 AM
Last modification on : Wednesday, May 16, 2018 - 11:23:29 AM
Long-term archiving on : Friday, July 3, 2015 - 10:16:15 AM

File

mmsp_07_pauwels.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Eric Pauwels, Albert Ali Salah, Romain Tavenard. Sensor Networks for Ambient Intelligence. IEEE Workshop on Multimedia Signal Processing, Oct 2007, Chania, Greece. ⟨10.1109/MMSP.2007.4412806⟩. ⟨halshs-01138508⟩

Share

Metrics

Record views

54

Files downloads

486