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Human Activities – Their Classification, Recognition and Ensemble of Classifiers

by Prajakta Kishore Kalangutkar, Santosh S. Saraf, Sheetalkumar Mallikarjun Onkari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 14
Year of Publication: 2013
Authors: Prajakta Kishore Kalangutkar, Santosh S. Saraf, Sheetalkumar Mallikarjun Onkari
10.5120/13313-0643

Prajakta Kishore Kalangutkar, Santosh S. Saraf, Sheetalkumar Mallikarjun Onkari . Human Activities – Their Classification, Recognition and Ensemble of Classifiers. International Journal of Computer Applications. 76, 14 ( August 2013), 6-11. DOI=10.5120/13313-0643

@article{ 10.5120/13313-0643,
author = { Prajakta Kishore Kalangutkar, Santosh S. Saraf, Sheetalkumar Mallikarjun Onkari },
title = { Human Activities – Their Classification, Recognition and Ensemble of Classifiers },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 14 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number14/13313-0643/ },
doi = { 10.5120/13313-0643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:52.604012+05:30
%A Prajakta Kishore Kalangutkar
%A Santosh S. Saraf
%A Sheetalkumar Mallikarjun Onkari
%T Human Activities – Their Classification, Recognition and Ensemble of Classifiers
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 14
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart Rate Variability (HRV) testing aids in evaluating the body's ability to adapt to physical and mental stress. With the advent of computers, there are growing interests on recognizing context generated from human known as human activity recognition. The recognition of human activities has gained a higher interest in this field. Thus, this paper aims at recognizing the human activities by evaluating the HRV in real time, using a Pulse Sensor and by transferring the data serially from Arduino to MATLAB for classifying the activities and recognizing them. The paper also utilizes the data obtained from Wearable Action Recognition Database (WARD) database by creating a test data from the available dataset to implement the classifier algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

heart rate variability human activities classification feature extraction

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