Deakin home > Deakin University Library > Deakin Research Online > Recognizing human daily activities from accelerometer signal

Recognizing human daily activities from accelerometer signal

Wang, Jin, Chen, Ronghua, Sun, Xiangping, She, Mary F. H and Wu, Yuchuan 2011, Recognizing human daily activities from accelerometer signal, Procedia engineering, vol. 15, pp. 1780-1786.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Recognizing human daily activities from accelerometer signal
Author(s) Wang, Jin
Chen, Ronghua
Sun, Xiangping
She, Mary F. H
Wu, Yuchuan
Journal name Procedia engineering
Volume number 15
Start page 1780
End page 1786
Total pages 7
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2011
ISSN 1877-7058
Keyword(s) acceleration signal
accelerometer
activity recognition
hidden markov model (HMM)
wearable system
Notes Presented at the CEIS 2011 International Conference on Advanced in Control Engineering and Information Science.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 861604 Integrated Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2011, Published by Elsevier Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044122

Document type: Journal Article
Collection: Institute for Technology Research and Innovation
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 2 times in Scopus
Access Statistics: 46 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 15:50:26 EST