most citedComparison of gait phase detection using traditional machine learning and deep learning techniques

16 citations · 24 across the 2 of their papers we have counts for

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2 papers

eess.SP2024★ 16 cited

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…

cs.HC2024★ 8 cited

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…