16 citations · 24 across the 3 of their papers we have counts for
3 papers
Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks
Farhad Nazari, Arian Shajari, Darius Nahavandi +1
Human Activity Recognition (HAR) stands as a pivotal technique within pattern recognition, dedicated to deciphering human movements and actions utilizing one or multiple sensory in…
Comparison of gait phase detection using traditional machine learning and deep learning techniques
Farhad Nazari, Navid Mohajer, Darius Nahavandi +1
Human walking is a complex activity with a high level of cooperation and interaction between different systems in the body. Accurate detection of the phases of the gait in real-tim…
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals
Farhad Nazari, Darius Nahavandi, Navid Mohajer +1
Human Activity Recognition (HAR) is one of the fundamental building blocks of human assistive devices like orthoses and exoskeletons. There are different approaches to HAR dependin…