Journal Articles and Conference Papers Publications
 A. Amini, K. Banitsas, “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.
 A. Amini, “An Unobtrusive System For Detecting Parkinson’s FOG Episodes,” in 7th Annual Student Research Conference (ResCon’14), London, UK, 2014.
 A. Amini; K. Banitsas; A. Badii; j.Cosmas, “Recognition of Postures and FOG on Parkinson’s Disease Patients Using Microsoft Kinect Sensor,” in International IEEE EMBS Neural Engineering Conference, Montpellier, France, 2015.
 A. Amini; K. Banitsas; j.Cosmas, “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.
 A. Amini; K. Banitsas; S. Hosseinzadeh, “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.
 S. Hosseinzadeh, H. Larijani, K. Curtis, A. Wixted, A. Amini, “Empirical Propagation Performance Evaluation of LoRa for Indoor Environment” in 2017 IEEE International Conference on Industrial Informatics (INDIN), Emden, Germany, 2017.
 A. Amini, K. Banitsas, W. R. Young, “Kinect4FOG: Monitoring and Improving Mobility in People with Parkinson’s using a Novel system incorporating the Microsoft Kinect v2” Disability and Rehabilitation: Assistive Technology.
 A. Amini, “ Using 3D sensing and projecting technology to improve the mobility of Parkinson’s disease patients” Brunel University London.
 A. Amini, K. Banitsas, “An Improved Technique for Increasing the Accuracy of Joint-to-Ground Distance Tracking in Kinect v2 for Foot-Off and Foot Contact Detection” Journal of Medical Engineering & Technology.
 A. Amini, K. Banitsas, “Using Kinect v2 to Control a Laser Visual Cue System for Parkinson’s Disease Patients” Journal of Healthcare Engineering.