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cambridge, united kingdom
It's currently 9:38 AM here
Joined November 27, 2018
0 Recommendations
Amin A.
@aminio8086
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cambridge, united kingdom
50%
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Professional Academic Writer and Editor
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$20.00 USD
S
•
Education
Doctorate of Philosophy (PhD) in Electronic and Computer Engineering
(4 years)
Diploma in Education and Training (DET)
(2 years)
Master of Science (MSc) in Data Communication Networks
(1 year)
Qualifications
Microsoft Certified Professional (MCP)
Microsoft Academy
2005
Microsoft Certified Systems Engineer (MCSE)
Microsoft Academy
2006
Award in Education and Training (AET)
Uxbridge College
2015
Publications
Number [9]
The Imaging Science Journal
“An Improved Technique for Increasing the Accuracy of Joint-to-Ground Distance Tracking in Kinect v2 for Foot-Off and Foot Contact Detection” The Imaging Science Journal (Under Review).
Number [8]
Journal of Healthcare Engineering
“Using Kinect v2 to Control a Laser Visual Cue System for Parkinson’s Disease Patients” Journal of Healthcare Engineering.
Number [7]
Disability and Rehabilitation: Assistive Technology
“Kinect4FOG: Monitoring and Improving Mobility in People with Parkinson’s using a Novel system incorporating the Microsoft Kinect v2” Disability and Rehabilitation: Assistive Technology.
Number [6]
IEEE International Conference on Industrial Informatics (INDIN)
“Empirical Propagation Performance Evaluation of LoRa for Indoor Environment” in 2017 IEEE International Conference on Industrial Informatics (INDIN), Emden, Germany, 2017.
Number [5]
IEEE International Conference on Biomedical and Health Informatics (BHI)
“A New Technique for Foot-Off and Foot Contact Detection in a Gait Cycle Based on the Knee Joint Angle Using Microsoft Kinect v2” in 2017 IEEE International Conference on Biomedical and Health Informatics (BHI), Orlando, FL, USA, 2017.
Number [4]
IEEE International Symposium on Medical Measurements and Applications (MeMeA)
“A comparison between heuristic and machine learning techniques in fall detection using Kinect v2” in 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, Italy, 2016.
Number [3]
IEEE EMBS Neural Engineering Conference
“Recognition of Postures and FOG on Parkinson’s Disease Patients Using Microsoft Kinect Sensor,” in International IEEE EMBS Neural Engineering Conference, Montpellier, France, 2015.
Number [2]
7th Annual Student Research Conference (ResCon’14)
“An Unobtrusive System For Detecting Parkinson’s FOG Episodes,” in 7th Annual Student Research Conference (ResCon’14), London, UK, 2014.
Number [1]
IEEE Engineering in Medicine and Biology Society (EMBC)
“A Prototype System Using Microsoft Kinect to Recognize Freezing of Gait in Parkinson’s Disease Patients,” in International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, USA, 2014.
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