Pattern classification with meta-cognition and online sequential learning algorithm

Skanda S. Bharadwaj; R. Chandan Kumar; B. N. Sumukha; Koshy George

doi:10.1109/IJCNN.2017.7966087

Pattern classification with meta-cognition and online sequential learning algorithm

Skanda S. Bharadwaj, R. Chandan Kumar, B. N. Sumukha, Koshy George

Peoples Education Society, Bangalore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1932-1939
Number of pages	8
ISBN (Electronic)	9781509061815
DOIs	https://doi.org/10.1109/IJCNN.2017.7966087
Publication status	Published - 30 Jun 2017
Externally published	Yes
Event	2017 International Joint Conference on Neural Networks, IJCNN 2017 - Anchorage, United States Duration: 14 May 2017 → 19 May 2017

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2017-May

Conference

Conference	2017 International Joint Conference on Neural Networks, IJCNN 2017
Country/Territory	United States
City	Anchorage
Period	14/05/17 → 19/05/17

ASJC Scopus subject areas

Software
Artificial Intelligence

Access to Document

10.1109/IJCNN.2017.7966087

Cite this

Bharadwaj, S. S., Kumar, R. C., Sumukha, B. N., & George, K. (2017). Pattern classification with meta-cognition and online sequential learning algorithm. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings (pp. 1932-1939). Article 7966087 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2017-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2017.7966087

Bharadwaj, Skanda S. ; Kumar, R. Chandan ; Sumukha, B. N. et al. / Pattern classification with meta-cognition and online sequential learning algorithm. 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1932-1939 (Proceedings of the International Joint Conference on Neural Networks).

@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",

}

Bharadwaj, SS, Kumar, RC, Sumukha, BN & George, K 2017, Pattern classification with meta-cognition and online sequential learning algorithm. in 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings., 7966087, Proceedings of the International Joint Conference on Neural Networks, vol. 2017-May, Institute of Electrical and Electronics Engineers Inc., pp. 1932-1939, 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, United States, 14/05/17. https://doi.org/10.1109/IJCNN.2017.7966087

Pattern classification with meta-cognition and online sequential learning algorithm. / Bharadwaj, Skanda S.; Kumar, R. Chandan; Sumukha, B. N. et al.
2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1932-1939 7966087 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2017-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Pattern classification with meta-cognition and online sequential learning algorithm

AU - Bharadwaj, Skanda S.

AU - Kumar, R. Chandan

AU - Sumukha, B. N.

AU - George, Koshy

PY - 2017/6/30

Y1 - 2017/6/30

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85030991933&partnerID=8YFLogxK

U2 - 10.1109/IJCNN.2017.7966087

DO - 10.1109/IJCNN.2017.7966087

M3 - Conference contribution

AN - SCOPUS:85030991933

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 1932

EP - 1939

BT - 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Joint Conference on Neural Networks, IJCNN 2017

Y2 - 14 May 2017 through 19 May 2017

ER -

Bharadwaj SS, Kumar RC, Sumukha BN, George K. Pattern classification with meta-cognition and online sequential learning algorithm. In 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1932-1939. 7966087. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2017.7966087

Pattern classification with meta-cognition and online sequential learning algorithm

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this