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Survey towards Human Activity Recognition using IoT Domain
| 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
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.
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