Using smartphones data set for human activity recognition

A classification system that identifies human activities. Based on the record of 30 participants carrying a smartphone (Samsung Galaxy 3) while performing ADL (activities of daily living) such as Walking, walking upstairs, walking down stairs, sitting, standing and laying.

*compared multiple algorithms

*comparison of models

*applied classification algorithms

*deployment of keras deep learning algorithm