Neural Networks
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sensor-Based Abnormal Human-Activity Detection
IEEE Transactions on Knowledge and Data Engineering
A dynamic data granulation through adjustable fuzzy clustering
Pattern Recognition Letters
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Using wearable sensor and NMF algorithm to realize ambulatory fall detection
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Hi-index | 0.00 |
Human behaviors monitoring by using wireless sensor networks has gained tremendous interest in recent years from researchers in many areas. To distinguish behaviors from on-body sensor signals, many classification methods have been tried, but most of them lack the relearning ability, which is quite important for long-term monitoring applications. In this paper, a relearning probabilistic neural network is proposed. The experimental results showed that the proposed method achieved good recognition performance, as well as the relearning ability.