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

• Main Authors: Al Jeroudi, Yazan, Ali, M. A., Latief, Marsad, Akmeliawati, Rini
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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; http://irep.iium.edu.my/44861/; http://dx.doi.org/10.1109/ASCC.2015.7244597

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...