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ORCIDFarhad Nazari
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2020 – today
- 2025
[c7]Arian Shajari
, Houshyar Asadi, Farhad Nazari, Zoran Najdovski, Saeid Nahavandi:
A Transformer-Enhanced BiLSTM Model for Classifying Driver States from Physiological and Motion Signals Under Auditory Stimuli. SMC 2025: 3174-3179- [c6]Arian Shajari, Houshyar Asadi, Farhad Nazari, Saeid Nahavandi:
Feature Extraction and AI Model-Based Detection of Driving Distraction Utilizing a Motion Platform. SysCon 2025: 1-7 - 2024
- [c5]Farhad Nazari, Arian Shajari, Darius Nahavandi, Navid Mohajer:
Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks. SysCon 2024: 1-5 - [i6]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. CoRR abs/2403.04387 (2024) - [i5]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi:
Comparison of gait phase detection using traditional machine learning and deep learning techniques. CoRR abs/2403.05595 (2024) - [i4]Farhad Nazari, Arian Shajari, Darius Nahavandi, Navid Mohajer:
Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks. CoRR abs/2406.11164 (2024) - 2023
- [j1]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. 15(3): 1102-1122 (2023) - 2022
- [c4]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI 2022: 1-6 - [c3]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi:
Comparison of gait phase detection using traditional machine learning and deep learning techniques. SMC 2022: 403-408 - [c2]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. SMC 2022: 2251-2256 - [i3]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR abs/2206.04480 (2022) - [i2]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Human Activity Recognition from Knee Angle Using Machine Learning Techniques. CoRR abs/2206.04487 (2022) - 2021
- [c1]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Human Activity Recognition from Knee Angle Using Machine Learning Techniques. SMC 2021: 295-300 - [i1]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. CoRR abs/2111.12860 (2021)
Coauthor Index
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