Human Activity Recognition on Smartphone: A Classification Analysis

Shianghau Wu (Macau University of Science and Technology)
Yanan Song (Macau University of Science and Technology)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 9: September 2014

The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the Ada Boost model had the advantage of less calculation time.