A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data

A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data

Human Activity Recognition (HAR) using embedded sensors in smartphones and smartwatch has gained popularity in extensive applications in health care monitoring of elderly people, security purpose, robotics, monitoring employees in the industry, and others. However, human behavior analysis using the...

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Bibliographic Details
Main Authors: Rasel Ahmed Bhuiyan, Nadeem Ahmed, Md Amiruzzaman, Md Rashedul Islam
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
human activity recognition (HAR)
feature extraction
feature reduction
enveloped power spectrum (EPS)
linear discriminant analysis (LDA)
multi-class support vector machine (MCSVM)
Online Access:https://www.mdpi.com/1424-8220/20/23/6990

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https://www.mdpi.com/1424-8220/20/23/6990

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