Instant Learning Sound Sensor for Ubiquitous Computing

Author

Negishi, Yuya ; Kawaguchi, Nobuo

Author_Institution

Sch. of Inf. Sci., Nagoya Univ.

fYear

2007

fDate

15-19 Jan. 2007

Firstpage

56

Lastpage

56

Abstract

We propose a smart sound sensor for ubiquitous computing that can learn and detect events from various sensor information with a time series signal. Using the smart sensor, a developer of a context-aware system and ubiquitous service can easily utilize a real world sound as a context information without a signal processing programming. The signal processing method can be extended for the other sensors such as accelerometer and directional sensor, pressure sensor, etc. By the experiment, we evaluate the feasibility of the instant learning sound sensor

Keywords

intelligent sensors; signal processing; time series; ubiquitous computing; context-aware system; instant learning sound sensor; signal processing method; smart sound sensor; time series signal; ubiquitous computing; ubiquitous service; Acoustic sensors; Algorithm design and analysis; Event detection; Intelligent sensors; Microphones; Sensor phenomena and characterization; Sensor systems; Signal processing algorithms; Temperature sensors; Ubiquitous computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications and the Internet Workshops, 2007. SAINT Workshops 2007. International Symposium on

Conference_Location

Hiroshima

Print_ISBN

0-7695-2757-4

Electronic_ISBN

0-7695-2757-4

Type

conf

DOI

10.1109/SAINT-W.2007.52

Filename

4090124