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Abdullah  Alharthi
Abdullah Alharthi
Assistant Professor Electrical and Electronics Engineering at King Khalid University
Verified email at KKU.edu.sa - Homepage
Title
Cited by
Cited by
Year
Deep Learning for Monitoring of Human Gait a Review
AS Alharthi, SU Yunas, KB Ozanyan
Sensor Journal 19 (21), 9575 - 9591, 2019
1632019
Gait Spatiotemporal Signal Analysis for Parkinsons Disease Detection and Severity Rating
A Alharthi, A Casson, K Ozanyan
Sensor Journal 21 (2), 1838 - 1848, 2021
452021
Deep Learning for Ground Reaction Force Data Analysis Application to Wide-Area Floor Sensing
AS Alharthi, SU Yunas, KB Ozanyan
The 28th International Symposium on Industrial Electronics (ISIE), 1401-1406, 2019
212019
Deep learning in gait analysis for security and healthcare
O Costilla-Reyes, R Vera-Rodriguez, AS Alharthi, SU Yunas, KB Ozanyan
Deep learning: algorithms and applications, 299-334, 2020
172020
Spatiotemporal Analysis by Deep Learning of Gait Signatures from Floor Sensors
A Alharthi, A Casson, K Ozanyan
IEEE Sensor Journal 21 (15), 16904 - 16914, 2021
122021
Multi-modality fusion of floor and ambulatory sensors for gait classification
SU Yunas, AS Alharthi, KB Ozanyan
The 28th International Symposium on Industrial Electronics (ISIE), 1467-1472, 2019
92019
An automated mechanism for early screening and diagnosis of diabetic retinopathy in human retinal images
A Alharthi, V Emamian
British Journal of Applied Science & Technology 12 (1), 1-15, 2015
82015
Multi-modality sensor fusion for gait classification using deep learning
SU Yunas, A Alharthi, KB Ozanyan
2020 IEEE Sensors Applications Symposium (SAS) 1, 1-6, 2020
62020
Sensor Fusion for Analysis of Gait under Cognitive Load: Deep Learning Approach
AS Alharthi, SU Yunas, KB Ozanyan
2020 IEEE Sensors Applications Symposium (SAS), 1-6, 2020
62020
Deep learning and sensor fusion methods for cognitive load gait difference in males and females
AS Alharthi, KB Ozanyan
Intelligent Data Engineering and Automated Learning, 2019
42019
Deep learning in gait analysis for security and healthcare
OC Reyes, R Vera-Rodriguez, A Alharthi, SU YUNAS, K Ozanyan
Deep learning: algorithms and applications, 299, 2019
32019
Fusion from Multimodal Gait Spatiotemporal Data for Human Gait Speed Classifications
A Alharthi, K Ozanyan
IEEE SENSORS 2021 - Virtual conference, Sydney, Australia, 1-4, 2021
12021
Towards Semi-Autonomous Robotic Arm Manipulation Operator Intention Detection from Forces Feedback
A Alharthi, O Tokatli, E Lopez, G Herrmann
arXiv preprint arXiv:2402.10220, 2024
2024
Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis
A Alharthi
arxiv, 2023
2023
Towards Freezing Robot Problems in Social Navigation: Social Cues Prediction and 3D Multi-Object Tracking
A Alharthi
RobotoKAUST 2023 Conference, https://zenodo.org/records/10125856, 2023
2023
Task Learning for Intention Detection using Deep Neural Networks and Robotic Arm Data in Glovebox
AS Alharthi, O Tokatli, EJL Pulgarin, G Herrmann
UK Atomic Energy Authority, Robotics and AI in Nuclear (RAIN Hub), 2022
2022
Acknowledgment to Reviewers of Sensors in 2021
AD Prasad, A Boualouache, AD Wilson, A Ahmadi, ASM Kayes, ...
Sensors 22, 1052, 2022
2022
Sensor Signal Processing for Human Gait Deterioration Analysis by Machine Learning
AS Alharthi
PQDT-Global, 2021
2021
Sensors Fusion for Cognitive Load Analysis using Gait Data
A Alharthi, K Ozanyan
https://doi.org/10.5281/zenodo.6344738, 2020
2020
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Articles 1–19