Discovering and recognizing of imbalance human activity in healthcare monitoring using hybrid SMOTE Tomek technique and decision tree model

• Main Authors: Mohamed, Raihani, Azizan, Nur Hidayah, Perumal, Thinagaran, Abd Manaf, Syaifulnizam, Marlisah, Erzam, Hardhienata, Medria Kusuma Dewi
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/105804/1/ARASETV33_N2_P340_350a.pdf; http://psasir.upm.edu.my/id/eprint/105804/; https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/3149
• Institution: Universiti Putra Malaysia

Human activity recognition model is vital and has been use in healthcare monitoring system. Bespoke multi-modal sensors were used such as accelerometer, gyroscope, GPS, temperature, pressure mat etc. Hence, the activities involved may varied resulted on class imbalance issue therefore, the model acc...