חגית הל אור - הפקולטה למדעי המחשב והמידע

אודות▼

Hagit Hel-Or is a Professor in the Dept of Computer Science. She holds a PhD degree in Computer Science from the Hebrew University in Jerusalem and has completed postdoctoral studies as well as visiting researcher positions at Stanford’s Dept of Psychology.She is head of The Computational Human Behavior lab at the University of Haifa that focuses on understanding human behavior using Computer Vision and Machine Learning tools.
Her research is inherently interdisciplinary and is based on collaborations with experts in fields such as
Psychology, Physiology, Physiotherapy, Sign Language, Behavioral Economics, and more. She researches
and develops novel Computer Vision and Machine Learning algorithms to serve in the study of human behavior.
Using these tools together with additional Data Science tools, and exploiting SoTA technologies and sensors she has successfully studied numerous
human behavioral questions and challenges. Examples of research from her lab include: automating and adaptive balance testing for risk of fall of elderly individuals, guided rehabilitation, analyzing cognitive functioning in anxiety and depression patients, diagnostics of mental disorders,
computer vision and machine learning based analysis of testing for Autism, abnormal language development in children, development of language via study of sign language and more.
Results of the studies have been published in leading journals and conferences both in Computer science and in the fields of our collaborators.

פרסומים▼

Remote fall prevention training for community-dwelling older adults: comparison with face-to-face and effect of delivery sequence-A randomized controlled trial, Toledano-Shubi, A., Livne, D., Hel-Or, H. & Bahat, H. S., Apr 2026, In: Geriatric Nursing. 69, 103817.
Shortening the MacArthur-Bates Communicative Developmental Inventory Using Machine Learning Based Computerized Adaptive Testing (ML-CAT), Saker, D., Salameh, H., Gendler-Shalev, H. & Hel-Or, H., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.
Emotional expression in deaf and hearing populations, Stamp, R., Geckt, D., Evenberg, L., Dachkovsky, S., Sandler, W. & Hel-Or, H., 2026, (Accepted/In press) In: Motivation and Emotion.
The Argenta Classification for Positional Plagiocephaly in Infants: An Inter- and Intra-Rater Reliability Study, Sarig Bahat, H., Eyal, N., David, L., Zauberman, R. B., Verfel-Kaplan, Y., Hel Or, H. & Alkan, Y., Sep 2025, In: Applied Sciences (Switzerland). 15, 18, 10130.
Feasibility and effectiveness of physical exercise for older adults delivered remotely via videoconferencing-systematic review and meta analysis, Toledano-Shubi, A., Shapira, A. L., Fuchsman, R., Marco, R., Hel-Or, H. & Sarig Bahat, H., 1 Jun 2025, In: Age and Ageing. 54, 6, afaf171.
Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults, Khatib, L., Toledano-Shubi, A., Bahat, H. S. & Hel-Or, H., Feb 2025, In: Applied Sciences (Switzerland). 15, 4, 1690.
Embodiment of sexuality by Israeli Sign Language signers and hearing Hebrew speakers, Stamp, R., Ben Israel, A., Eden, K., Khatib, L., Karpova, V. & Hel Or, H., Feb 2025, In: Journal of Sociolinguistics. 29, 1, p. 22-43 22 p.
Action assessment in rehabilitation: Leveraging machine learning and vision-based analysis, Kryeem, A., Boutboul, N., Bear, I., Raz, S., Eluz, D., Itah, D., Hel-Or, H. & Shimshoni, I., Feb 2025, In: Computer Vision and Image Understanding. 251, 104228.
Reactivity and stability in facial expressions as an indicator of therapeutic alliance strength, Tal, S., Ben-David Sela, T., Dolev-Amit, T., Hel-Or, H. & Zilcha-Mano, S., 2025, In: Psychotherapy Research. 35, 3, p. 454-468 15 p.
Remote versus face-to-face fall risk assessment in home dwelling older adults: a reliability study, Toledano-Shubi, A., Hel-Or, H. & Sarig Bahat, H., 2025, In: Physiotherapy Theory and Practice. 41, 4, p. 827-835 9 p.
Reduced contextual effects and cross-modal calibration demonstrate atypical sensory processing in autism, Inbar, A. B. Z., Hel-Or, H. & Hadad, B.-S., Sep 2024, In: Journal of Vision. 24, 10, p. 1098 1 p.
Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity, Richter, T., Stahi, S., Mirovsky, G., Hel-Or, H. & Okon-Singer, H., 1 Jun 2024, In: Journal of Affective Disorders. 354, p. 473-482 10 p.
A kinematic study of phonetic reduction in a young sign language, Stamp, R., Dachkovsky, S., Hel-Or, H., Cohn, D. & Sandler, W., May 2024, In: Journal of Phonetics. 104, 101311.
Kinect-ing the Dots: Using Motion-Capture Technology to Distinguish Sign Language Linguistic From Gestural Expressions, Stamp, R., Cohn, D., Hel-Or, H. & Sandler, W., Mar 2024, In: Language and Speech. 67, 1, p. 255-276 22 p.
Kindergarten Children’s Learning of Computational Thinking With the “Sorting Like a Computer” Learning Unit, Masarwa, B., Hel-Or, H. & Levy, S. T., 2024, In: Journal of Research in Childhood Education. 38, 2, p. 165-188 24 p.
Promoting learning transfer in science through a complexity approach and computational modeling, Saba, J., Hel-Or, H. & Levy, S. T., Jun 2023, In: Instructional Science. 51, 3, p. 475-507 33 p.
Much.Matter.in.Motion: learning by modeling systems in chemistry and physics with a universal programing platform, Saba, J., Hel-Or, H. & Levy, S. T., 2023, In: Interactive Learning Environments. 31, 5, p. 3128-3147 20 p.
Using machine learning to modify and enhance the daily living questionnaire, Panovka, P., Salman, Y., Hel-Or, H., Rosenblum, S., Toglia, J., Josman, N. & Adamit, T., 1 Jan 2023, In: Digital Health. 9
IDENTIFYING CREATIVE PROBLEM-SOLVING STRATEGIES USING EYE TRACKING, Eraky, A., Leikin, R., Hadad, B. S., Hel-Or, H. & Abboud, E., 2023, Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023. Ayalon, M., Koichu, B., Leikin, R., Rubel, L. & Tabach, M. (eds.). Psychology of Mathematics Education (PME), p. 242 1 p. (Proceedings of the International Group for the Psychology of Mathematics Education; vol. 1).
Perceiving emotions in sign language: Lexical (words) vs. non-lexical (tone) channels, Dachkovsky, S., Stamp, R., Shakuf, V., Sandler, W., Ben-David, B. M. & Hel-Or, H., 2023.
Personalized Monitoring in Home Healthcare: An Assistive System for Post Hip Replacement Rehabilitation, Kryeem, A., Raz, S., Eluz, D., Itah, D., Hel-Or, H. & Shimshoni, I., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. Institute of Electrical and Electronics Engineers Inc., p. 1860-1869 10 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).
Spatio-Temporal Calibration of Multiple Kinect Cameras Using 3D Human Pose, Eichler, N., Hel-Or, H. & Shimshoni, I., Nov 2022, In: Sensors. 22, 22, 8900.
Promoting Learning Transfer by Constructing Computational Models of Complex Systems in Science among Middle School Students, Saba, J., Hel-Or, H. & Levy, S. T., 2022, האדם הלומד בעידן הדיגיטלי: ספר הכנס השסעה-עשר לחקר חדשנות טכנולוגית וטכנולוגיות למידה ע"ש צ'ייס: האוניברסיטה הפתוחה. המרכז לחקר חדשנות בטכנולוגיות למידה. ⁨עשת, י.⁩, ⁨בלאו, א.⁩, ⁨כספי, א.⁩, ⁨גרי, נ.⁩, ⁨קלמן, י.⁩, ⁨לוטרמן, ת.⁩ & ⁨סידי, י.⁩ (eds.). רעננה: האוניברסיטה הפתוחה, מרכז המחקר לשילוב טכנולוגיות בהוראה ע"ש צ'ייס, p. 17 (2022), E17-E27
Capturing Distalization, Stamp, R., Khatib, L. & Hel-Or, H., 2022, 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, sign-lang 2022 - held in conjunction with the International Conference on Language Resources and Evaluation, LREC 2022 - Proceedings. Efthimiou, E., Fotinea, S.-E., Hanke, T., Hochgesang, J. A., Kristoffersen, J., Mesch, J. & Schulder, M. (eds.). European Language Resources Association (ELRA), p. 187-191 5 p. (10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, sign-lang 2022 - held in conjunction with the International Conference on Language Resources and Evaluation, LREC 2022 - Proceedings).
Developing Accessible and Sustainable Computational Modeling Tools in Learning Science: What is Next?, Fuhrmann, T., Levy, S. T., Wilensky, U. & Hel-Or, H., 2022, International Collaboration toward Educational Innovation for All: Overarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022. Chinn, C., Tan, E., Chan, C. & Kali, Y. (eds.). International Society of the Learning Sciences (ISLS), p. 1715-1722 8 p. (Proceedings of International Conference of the Learning Sciences, ICLS ).
Judicial Errors: Fake Imaging and the Modern Law of Evidence, Alon, G., Hel-Or, H. & Haider, A., 2022, In: UIC Review of Intellectual Property Law. 21, 2, p. 82-120
Learning Electricity through Constructing Computational Models of Complex Systems, Saba, J., ⁨לנגבהיים, א.⁩, Hel-Or, H. & Levy, S. T., 2021, האדם הלומד בעידן הדיגיטלי: ספר הכנס השישה-עשר לחקר חדשנות טכנולוגית וטכנולוגיות למידה ע"ש צ'ייס: האוניברסיטה הפתוחה. המרכז לחקר חדשנות בטכנולוגיות למידה. ⁨עשת, י.⁩, ⁨בלאו, א.⁩, ⁨כספי, א.⁩, ⁨גרי, נ.⁩, ⁨קלמן, י.⁩ & ⁨לוטרמן, ת.⁩ (eds.). רעננה: האוניברסיטה הפתוחה, מרכז המחקר לשילוב טכנולוגיות בהוראה ע"ש צ'ייס, p. 16 (2021), 3E-15E 2 p.
Expansive Modeling: Broadening the scope of modeling in K-12 education, Wagh, A., Dickes, A., Lam-Herrera, M., Sengupta, P., Reimers, J., Vogelstein, L., Brady, C., Steinberg, R., Thomas, C., Pierson, A., Farris, A. V., Wolkenhauer, R., Lloyd, G., Murphy, P. K., DeLiema, D., Enyedy, N., Danish, J., Steen, F., Fridman, C. & Levy, S. T. & 2 others, Hel-Or, H. & Bang, M., 2021, ISLS Annual Meeting 2021 Reflecting the Past and Embracing the Future - 15th International Conference of the Learning Sciences, ICLS 2021. de Vries, E., Hod, Y. & Ahn, J. (eds.). International Society of the Learning Sciences (ISLS), p. 827-834 8 p. (Proceedings of International Conference of the Learning Sciences, ICLS ).
3D motion capture system for assessing patient motion during Fugl-Meyer stroke rehabilitation testing, Eichler, N., Hel-Or, H., Shimshoni, I., Itah, D., Gross, B. & Raz, S., 1 Oct 2018, In: IET Computer Vision. 12, 7, p. 963-975 13 p.
Digital Ridgelet Transform Based on True Ridge Functions, Flesia, A. G., Hel-Or, H., Candès, E. J., Coifman, R. R. & Donoho, D. L., 2003, Beyond Wavelets. Welland, G. V. (ed.). Elsevier, Vol. 10. p. 31-60 (Studies in Computational Mathematics).
Quantitative analysis of continuous symmetry in shapes and objects, Hel-Or, H. & Avnir, D., 1999, Workshop on Fundamental Properties in Image and Pattern Analysis – ESPIPA-99, Budapest.
Symmetry and Chirality: Continuous Measures, Avnir, D., Hel-Or, H. Z. & Mezey, P. G., 1998, Encyclopedia of Computational Chemistry. von Rague Schleyer, P. (ed.). wiley, p. 2890-2901
Computational aspects in image analysis of symmetry and of its perception, Hel-Or, H., 1998.
Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences, Zabrodsky, H. & Weinshall, D., 1 Jul 1997, In: Computer Vision and Image Understanding. 67, 1, p. 48-57 10 p.
The Measurement of Symmetry and Chirality: Conceptual Aspects, Avnir, D., Katzenelson, O., Keinan, S., Pinsky, M., Pinto, Y., Salomon, Y. & Hel-or, H. Z., 1997, Concepts in Chemistry: A Contemporary Challenge. Rouvray, D. H. (ed.). Somerset: Research Studies Press, p. 283-324
The Measurement of Symmetry and Chirality: Conceptual Aspects, Avnir, D., Katzenelson, O., Keinan, S., Pinsky, M., Pinto, Y., Salomon, Y. & Hel-or, H. Z., 1997, In: ChemInform. 28, 32
Using Color Correlation To Improve Restoration of Color Images, Keren, D., Gotlib, A. & Hel-Or, H., 1996, International Workshop on Image and Signal Processing. B. G. M. & P. L. (eds.). p. 603-607
Symmetry Continuous Feature, Zabrodsky, H., Peleg, S. & Avnir, D., 1 Dec 1995, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 17, 12, p. 1154-1166 13 p.
Continuous symmetry analysis of hyperpolarizabilities. Characterization of the second-order nonlinear optical response of distorted benzene, Kanis, D. R., Wong, J. S., Marks, T. J., Ratner, M. A., Zabrodsky, H., Keinan, S. & Avnir, D., 1995, In: Journal of Physical Chemistry. 99, 28, p. 11061-11066 6 p.
Symmetry of fuzzy data, Zabrodsky, H., Peleg, S. & Avnir, D., 9 Nov 1994, Proceedings of 12th International Conference on Pattern Recognition. Vol. 1. p. 499-504
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images, Zabrodsky, H. & Weinshall, D., 1994, Computer Vision - ECCV '94. Eklundh, J.-O. (ed.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 401-410 10 p.
Continuous symmetry: A model for human figural perception, Zabrodsky, H. & Algom, D., 1994, In: Multisensory Research. 8, 4, p. 455-467 13 p.
Continuous symmetry for shapes, Zabrodsky, H., Peleg, S. & Avnir, D., 1994, Aspects of Visual Form Processing: Proceedings of the 2nd International Workshop on Visual Form. Arcelli, C. (ed.). Capri, Italy, p. 594-613
Completion of occluded shapes using symmetry, Zabrodsky, H., Peleg, S. & Avnir, D., 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE, p. 678-679 2 p. (IEEE Computer Vision and Pattern Recognition).
Continuous symmetry measures: Journal of the American Chemical Society, Zabrodsky, H., Peleg, S. & Avnir, D., 1992, In: Journal of the American Chemical Society. 114, 20, p. 7843-7851 9 p.
Hierarchical symmetry, Zabrodsky, H., Peleg, S. & Avnir, D., 1 Jan 1992, International Conference on Pattern Recognition. Vol. 3. p. 9-9
A measure of symmetry based on shape similarity, Zabrodsky, H., Peleg, S. & Avnir, D., 1992, Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 703-706 4 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).
Attentive transmission, Zabrodsky, H. & Peleg, S., 1990, In: Journal of Visual Communication and Image Representation. 1, 2, p. 189-198
Characterization of right-handed and left-handed objects, Peleg, S. & Zabrodsky, H., 1989, HIGH LEVEL VISION AND PLANNING WORKSHOP PROCEEDINGS. p. 197-209
How to tell right from left (chirality for 2-D binary shapes), Hel-Or, Y., Peleg, S. & Zabrodsky, H., 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition. p. 304-309 6 p.

תחומי מחקר▼

מחקרים אינטרדיציפלינריים במדעי ההתנהגות המשלבים כלים של ראיה ממוחשבת מדעי הנתונים ומכונות לומדות (AI)

הפקולטה למדעי המחשב והמידע

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