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Nadav Eichler
Nadav Eichler
Computer Science Dept', University of Haifa
在 campus.haifa.ac.il 的电子邮件经过验证
标题
引用次数
引用次数
年份
3D motion capture system for assessing patient motion during Fugl‐Meyer stroke rehabilitation testing
N Eichler, H Hel‐Or, I Shimshoni, D Itah, B Gross, S Raz
IET Computer Vision 12 (7), 963-975, 2018
312018
Automatic and efficient fall risk assessment based on machine learning
N Eichler, S Raz, A Toledano-Shubi, D Livne, I Shimshoni, H Hel-Or
Sensors 22 (4), 1557, 2022
242022
Non-invasive motion analysis for stroke rehabilitation using off the shelf 3d sensors
N Eichler, H Hel-Or, I Shmishoni, D Itah, B Gross, S Raz
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
212018
Predicting fall probability based on a validated balance scale
A Masalha, N Eichler, S Raz, A Toledano-Shubi, D Niv, I Shimshoni, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
152020
Spatio-temporal calibration of multiple kinect cameras using 3d human pose
N Eichler, H Hel-Or, I Shimshoni
Sensors 22 (22), 8900, 2022
82022
Motion tracking with multiple 3D cameras
I Shimshoni, H Hel-Or, NF Eichler, RAZ Shmuel
US Patent 11,354,938, 2022
32022
A Novel 3D Motion Capture System using Multiple Consumer Depth Sensors
N Eichler
University of Haifa, 2014
12014
Automatic and efficient fall prediction assessment based on machine learning and a tracking system
H Hel-Or, I Shimshoni, N Eichler, RAZ Shmuel
US Patent App. 18/216,297, 2024
2024
Systems and methods for diagnosing a stroke condition
N Eichler, RAZ Shmuel, R Sivan-Hoffmann, A Frid, O Dror
US Patent 11,699,529, 2023
2023
Motion tracking with multiple 3d cameras
I Shimshoni, H Hel-Or, NF Eichler, RAZ Shmuel
US Patent App. 17/701,995, 2022
2022
A Novel 3d Using Multiple Consumer Depth Sensors
N Eichler
PQDT-Global, 2017
2017
Improving 3D Body Skeleton using Multiple Kinect Sensors
N Eichler
2015
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