TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition

Abstract

The research on inertial sensor based human action detection and recognition (HADR) is a new area in machine learning. We propose a novel time sequence based interval convolutional neutral networks framework for HADR by combining interesting interval proposals generator and interval-based classifier. Experiments demonstrate the good performance of our method.