Identification of Human Activities Using Sensors


Authors : Neenu P., Meera K.

Volume/Issue : Volume 4 - 2019, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/30XdUI7

Activity recognition is considered as a vital assignment in numerous applications, especially in medicinal services administrations. Among these applications incorporate restorative symptomatic, checking of clients’ every day schedule and discovery of strange cases. This paper presents a methodology for the action acknowledgment utilizing an accelerometer sensor installed in a cell phone. This methodology utilizes an openly accessible accelerometer dataset as the crude info flag. The highlights of the flag are chosen in view of the time and recurrence area. At that point, Principal Component Analysis (PCA) is used to diminish the dimensionality of the highlights and concentrate the most huge ones that can characterize human exercises. A correlation process is performed between the first crude information also, PCA-based highlights and moreover, time and recurrence space highlights are likewise analyzed utilizing a few machine learning classifiers.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2020

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe