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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2015
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| 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 |
Internet
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