BP Neural Network for Human Activity Recognition in Smart Home
- 1 August 2012
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1034-1037
- https://doi.org/10.1109/csss.2012.262
Abstract
In this paper, BP (back propagation) neural network is applied to represent and recognize human activities from observed sensor sequences. The proper features for activity recognition are selected. Then, the model of BP neural network for activity recognition is established. The results show that BP neural network can recognize human activity successfully and achieve good recognition accuracy.Keywords
This publication has 4 references indexed in Scilit:
- Keeping the Resident in the Loop: Adapting the Smart Home to the UserIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2009
- Bayesian activity recognition in residence for eldersPublished by Institution of Engineering and Technology (IET) ,2007
- Parallel implementation of back-propagation algorithm in networks of workstationsIEEE Transactions on Parallel and Distributed Systems, 2005
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989