Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscope...

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Bibliographic Details
Main Authors: Nadeem Ahmed, Jahir Ibna Rafiq, Md Rashedul Islam
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
human activity recognition (har)
feature selection
machine learning
svm
sensor
accelerometer
gyroscope
Online Access:https://www.mdpi.com/1424-8220/20/1/317

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