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Survey towards Human Activity Recognition using IoT Domain

by Shreyas Gawande, Praveda Bansode, Sayali Dukandar, Jyoti Deshmukh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 12
Year of Publication: 2021
Authors: Shreyas Gawande, Praveda Bansode, Sayali Dukandar, Jyoti Deshmukh
10.5120/ijca2021921429

Shreyas Gawande, Praveda Bansode, Sayali Dukandar, Jyoti Deshmukh . Survey towards Human Activity Recognition using IoT Domain. International Journal of Computer Applications. 183, 12 ( Jun 2021), 21-24. DOI=10.5120/ijca2021921429

@article{ 10.5120/ijca2021921429,
author = { Shreyas Gawande, Praveda Bansode, Sayali Dukandar, Jyoti Deshmukh },
title = { Survey towards Human Activity Recognition using IoT Domain },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2021 },
volume = { 183 },
number = { 12 },
month = { Jun },
year = { 2021 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number12/31979-2021921429/ },
doi = { 10.5120/ijca2021921429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:36.507337+05:30
%A Shreyas Gawande
%A Praveda Bansode
%A Sayali Dukandar
%A Jyoti Deshmukh
%T Survey towards Human Activity Recognition using IoT Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 12
%P 21-24
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This task presents a novel framework dependent on the Internet of Things (IOT) to Human Activity Recognition (HAR) by observing fundamental signs distantly. Here it is use raspberry pi, wearable sensors, computational psychiatry. Also have used AI calculations to decide the movement done inside four pre-set up classes (walk, climbing and run). With an increased availability in wearable sensors we explore a better understanding of human needs. Then, it can give input during and after the movement is performed, utilizing a distant checking segment with far off perception and programmable alerts. This framework was effectively executed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Raspberry Pi Location Activity Detection Wearable sensors Machine learning Deep learning Long-Short term memory loss Conditional random field Computational psychiatry.

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