48 citations · 72 across the 6 of their papers we have counts for
6 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…
Human Activity Recognition from Knee Angle Using Machine Learning Techniques
Farhad Nazari, Darius Nahavandi, Navid Mohajer +1
Human Activity Recognition (HAR) is a crucial technology for many applications such as smart homes, surveillance, human assistance and health care. This technology utilises pattern…
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks
Farhad Nazari, Navid Mohajer, Darius Nahavandi +2
Human Activity Recognition (HAR) is one of the essential building blocks of so many applications like security, monitoring, the internet of things and human-robot interaction. The…
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction
Farhad Nazari, Navid Mohajer, Darius Nahavandi +2
Exoskeletons and orthoses are wearable mobile systems providing mechanical benefits to the users. Despite significant improvements in the last decades, the technology is not fully…