UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010301


Registration ID:
302333

Page Number

2326-2333

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Title

ACTIVITY RECOGNITION USING SMARTPHONE EMBEDDED SENSORS WITH K-NEAREST NEIGHBOR ALGORITHM

Abstract

Human Activity Recognition(HAR) is behind many human-centric applications such as Smart Homes, and public healthcare. This paper presents a way of detecting six basic physical human activities (Sitting, Laying, Standing, Walking, Walking Downstairs, Walking Upstairs), with accelerometer embedded in an android smartphone. K-Nearest Neighbor (KNN) algorithm, and Relief F feature selector in WEKA Machine Learning Toolkit were adopted to recognize these activities on a publicly available dataset. The average recognition accuracy of 95.2% demonstrated the feasibility of the proposed solution, and can be considered adequate for HAR. This work is significant because it can provide contextual information about the habits of users passively.

Key Words

Smartphone, Human Activity Recognition, Accelerometer, Relief, KNN, Machine Learning.

Cite This Article

"ACTIVITY RECOGNITION USING SMARTPHONE EMBEDDED SENSORS WITH K-NEAREST NEIGHBOR ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2326-2333, October-2020, Available :http://www.jetir.org/papers/JETIR2010301.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ACTIVITY RECOGNITION USING SMARTPHONE EMBEDDED SENSORS WITH K-NEAREST NEIGHBOR ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2326-2333, October-2020, Available at : http://www.jetir.org/papers/JETIR2010301.pdf

Publication Details

Published Paper ID: JETIR2010301
Registration ID: 302333
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 2326-2333
Country: Port Harcourt, Rivers State, Nigeria .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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