The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2008
Session ID : 2A1-D20
Conference information
2A1-D20 Life Sound Recognition Based on Cepstrum and Discriminant Analysis for Daily Supporting Robot System
Satoru TOKUTSUKei OKADAMasayuki INABA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
For daily assistive robots sharing household space with human beings, it is important to recognize daily life sounds and to select an appropriate behavior autonomously. To use auditory information have benefits, for example, to reason about unseeing situations. In this paper, we examine an algorithm for daily life sound recognition for using in several scenes. Throught this examination, we propose a framework for using daily life sound recognition in daily assistive robot system.
Content from these authors
© 2008 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top