@inproceedings{0095435776ce40d3b7301b796d293688,
title = "Pattern classification with meta-cognition and online sequential learning algorithm",
abstract = "An integral part of modem day health-care is monitoring the physical activities of human beings. In this paper, we deal with automatic recognition of some daily activities based on signals measured using easily-available smart phones. We present a neural-network based methodology to classify these signals. In contrast to typical conventional techniques we use sequential processing of signals and circumvent pre-processing and feature extraction. In addition, we introduce meta-cognition to reduce the computations required during the training stage. We demonstrate that our approach yields satisfactory recognition accuracies.",
author = "Bharadwaj, \{Skanda S.\} and Kumar, \{R. Chandan\} and Sumukha, \{B. N.\} and Koshy George",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Joint Conference on Neural Networks, IJCNN 2017 ; Conference date: 14-05-2017 Through 19-05-2017",
year = "2017",
month = jun,
day = "30",
doi = "10.1109/IJCNN.2017.7966087",
language = "English",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1932--1939",
booktitle = "2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings",
address = "United States",
}