A supervised learning approach for behaviour recognition in smart homes-Reference-Cited by-同舟云学术

A supervised learning approach for behaviour recognition in smart homes

Published:2016-04-27 Issue:3 Volume:8 Page:259-271
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Chua Sook-Ling¹,Marsland Stephen²,Guesgen Hans²

Affiliation:

1. Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. E-mail: slchua@mmu.edu.my

2. School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand. E-mails: s.r.marsland@massey.ac.nz, h.w.guesgen@massey.ac.nz

Publisher

IOS Press

Subject

Software

Reference12 articles.

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2. M.-A. Dragan and I. Mocanu, Human activity recognition in smart environments, in: Proc. of the 19th International Conference on Control Systems and Computer Science (CSCS), 2013, pp. 495–502.

3. HMM classifier for human activity recognition;Gaikwad;Computer Science & Engineering: An International Journal (CSEIJ),2012

4. Q.-B. Gao and S.-L. Sun, Trajectory-based human activity recognition using Hidden Conditional Random Fields, in: International Conference on Machine Learning and Cybernetics (ICMLC), 2012, pp. 1091–1097.

5. Detection of daily living activities using a two-stage Markov model;Kalra;Journal of Ambient Intelligence and Smart Environments,2013

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