A Feature Selection-Based Framework for Human Activity Recognition Using Wearable Multimodal Sensors

Abstract

Human activity recognition is important for many applications. This paper describes a human activity recognition framework based on feature selection techniques. The objective is to identify the most important features to recognize human activities. We first design a set of new features (called phys