Online sequential extreme learning machine algorithm based human activity recognition using inertial data

Human activity recognition (HAR) is the basis for many real world applications concerning health care, sports and gaming industry. Different methodological perspectives have been proposed to perform HAR. One appealing methodology is to take an advantage of data that are collected from inertial senso...

Full description

Bibliographic Details
Main Authors: Al Jeroudi, Yazan, Ali, M. A., Latief, Marsad, Akmeliawati, Rini
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2015
Subjects:
Online Access:http://irep.iium.edu.my/44861/
http://irep.iium.edu.my/44861/
http://irep.iium.edu.my/44861/
http://irep.iium.edu.my/44861/4/44861-Online_sequential_extreme_learning_machine_algorithm_based_human_activity_recognition_using_inertial_data_Full_article.pdf
http://irep.iium.edu.my/44861/7/ASCC-organizer.pdf

Similar Items