Feature Extraction, Performance Analysis and System Design Using the DU Mobility Dataset

Feature Extraction, Performance Analysis and System Design Using the DU Mobility Dataset

The University of Dhaka mobility data set (DU-MD) is a human action recognition (HAR) data set consisting of 10 classes and 5000 observations from 50 subjects recorded using wrist-mounted sensors embracing accelerometry. The data set exhibits sufficient statistical diversity in physiological paramet...

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Bibliographic Details
Main Authors: Swapnil Sayan Saha, Shafizur Rahman, Miftahul Jannat Rasna, Tarek Bin Zahid, A.K.M. Mahfuzul Islam, Md. Atiqur Rahman Ahad
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Human action recognition (HAR)
activities of daily living (ADL)
wearable
accelerometer
machine learning algorithms
feature extraction
Online Access:https://ieeexplore.ieee.org/document/8434226/

Internet

https://ieeexplore.ieee.org/document/8434226/

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