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Statistical based Neural Network in Human Activity Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 124 - Number 12 |
| Year of Publication: 2015 |
| Authors: Mohammad Pivezhandi, Baback Mazloom-Nezhad Maybodi |
10.5120/ijca2015905678
|
Mohammad Pivezhandi, Baback Mazloom-Nezhad Maybodi . Statistical based Neural Network in Human Activity Recognition. International Journal of Computer Applications. 124, 12 ( August 2015), 1-5. DOI=10.5120/ijca2015905678
Abstract
This research proposed an efficient method in classification of Human Activity Recognition tasks. The evaluated tuned models show higher than 99 percent mean accuracy and gain more training and testing accuracy in comparison to previous studies. Dimensionally reduction have been introduced based on P-value evaluation in feature space. Finally a hybrid model that compressed statistically in feature space alongside with Neural Network architecture have been proposed. The final model could be used as best architecture of hardware implementation in gesture recognition applications.
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