Selected Publications

2022

N. Benor, H. Hel-Or and B. Hadad, "Individuals with autism show non-adaptive relative weighting of perceptual bias and sensory reliability", Autism, Autism. March, 2022

R. Stamp, L. Khatib, and H. Hel-Or, “Capturing Distalization”, Workshop on Sentiment Analysis and Linguistic, Language Resources and Evaluation Conference (LREC), Marseilles, France, June 2022.

N. Eichler, S. Raz, A. Toledano-Shubi, D. Livne, I. Shimshoni, and H. Hel-Or "Automatic and Efficient Fall Risk Assessment based on Machine Learning", Sensors, 22(4), 2022.

A. Haider, and H. Hel-Or, "What Can We Learn from Depth Camera Sensor Noise?", Sensors, 22(14), 2022

2021

R. Stamp, A. Ben-Israel, H. Hel-Or, S. Raz and W. Sandler, "It’s just a gay thing: A comparative kinematic analysis of gestures and signs in Israel", accepted to Sociolinguistics Symposium 23, Hong Kong, June 2020. Due to COVID-19, postponed to June 2021.

J. Saba#, H. Hel-Or, E. Langhebeheim and S.T. Levy. "Students' development of mental models when constructing particle-based computational models of electric conductors", NARST Annual International Conference, Orlando, Fl, April 2021.

A. Haider# and H. Hel-Or "Can 3D-sensor images be Falsified?". International Conference on Computational Photography (ICCP), Haifa, Israel, May 2021.

U.S. Patent Application No. 63/257,929, filed Oct 21 2021. ""Automatic and Efficient Fall Prediction Assessment Based on Machine Learning and a Novel Motion Tracking System"

2020

H. Spitzer, X. Otazu, and H. Hel-Or, Guest Associate Editors, Bio-informatics and
Computational Biology, Frontiers in Computational Neuroscience. E-Book
"Integrating Visual System Mechanisms, Computational Models and
Algorithms/Technologies", 2020.

J. Saba, H. Hel-Or, and S.T. Levy, "Much.Matter.in.Motion: Learning Science Through Constructing Computational Models of Complex Systems [Symposium]". AERA Annual Meeting, San Francisco, CA, April 2020

B. Hadad, N. Binur and H. Hel-Or, "Individuals with autism show non-adaptive relative weighting
 of the perceptual bias and the sensory reliability", Vision Sciences Society (VSS), St. Pete Beach, FL, (Held Virtual due to COVID-19), May 2020.

A. Masalha, N. Eichler, S. Raz, A. Toledano-Shubi, D. Livne, I. Shimshoni, and H. Hel-Or, "Predicting Fall Probability Based on a Validated Balance Scale", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA (Held Virtual due to COVID-19), June 2020.

2019

H. Shahar, and H. Hel-Or, "Micro Expression Classification using Facial Color and Deep Learning Methods", IEEE International Conference on Computer Vision Workshops (ICCVW), Seoul, Korea, Oct. 2019.

R. Stamp, A. Ben-Israel, H. Hel-Or, S. Raz and D. Cohn, " Unraveling language-specific features: The case of Gay Sign Variant (GSV) in Israeli Sign Language", UK Language Variation and Change, London, UK, Sept 2019.

2018

N. Eichler, H. Hel-Or, I. Shimshoni, D. Itah, B. Gross and S. Raz, "A Novel 3D Motion Capture System for Assessing Patient Motion During Fugl-Meyer Stroke Rehabilitation Testing", IET Computer Vision, Special Issue on Biomedical Assistive Technology, 2(7), 963-975, 2018.

R. Stamp, S.Dachkovsky, H. Hel-Or, D. Cohn, S. Raz and W. Sandler, "A kinematic investigation into the phonetic reduction of reference marking in a young sign language", International Society for Gesture Studies (ISGS), Cape Town, South Africa, July 2018.

N. Eichler, H. Hel-Or, I. Shimshoni, D. Itah, B. Gross and S. Raz, "Non-Invasive Motion Analysis for Stroke Rehabilitation using off the Shelf 3D Sensors", International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018.

R. Stamp, H. Hel-Or, D. Cohn, S. Raz and W. Sandler, "Kinect-ing the dots: How can motion capture technologies contribute to our understanding of sign and gesture?", International Congress on Linguistics (ICL) - Workshop on Signed Language Linguistics: Taking Stock, Cape Town, South Africa, July 2018.

Eichler, Nadav & Hel-Or, Hagit & Shimshoni, Ilan & Itah, Dorit & Gross, Bella & Raz, Shmuel. (2018). A Novel 3D Motion Capture System For Assessing Patient Motion During Fugl-Meyer Stroke Rehabilitation Testing. IET Computer Vision.

US Patent Application No. 62/584,975, filed November 2017. “Motion Tracking with Multiple 3D Cameras”. PCT International Application No. PCT/IL2018/051222, filed November 2018.

2017

N. Privman-Horesh H. Hel-Or, S. Raz and I. Schlesinger ”Facial Features Tracking of Parkinson Patients”, Automatic Face Analytics for Human Behavior Understanding: British Machine Vision Conference (BMVC), Sept. 2017

2014

B Dror, E Yanai, A. Frid, N. Peleg, N. Goldenthal, I. Schlesinger, H. Hel-Or, S. Raz, ”Automatic assessment of Parkinson’s Disease from natural hands movements using 3D depth sensor” Electrical & Electronics Engineers in Israel (IEEEI), Eilat, Israel, Dec 2014.

2013

T. Vaserman, T. Shraga, A. Frid, H. Hel-Or, S. Raz and I. Schlesinger, “Automatic Quan- titative Assessment of Hand Movements and Finger Taps in Parkinson’s Disease”, Bar- Ilan Symposium on the Foundations of Artificial Intelligence (BISFAI), Ramat-Gan,Israel, June 2013.