Human Action Recognition Based on Inertial Sensors and Complexity Classification
Human Action Recognition Based on Inertial Sensors and Complexity Classification is a scholarly work, published in 2019. The main subjects of the publication include simple, randomness, Simultaneous localization and mapping, artificial intelligence, variety, identification, action, gesture recognition, matching, machine learning, pattern recognition, activity recognition, and computer science. In this article, a human action recognition technique based on complexity classification is proposed.