Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nadav Eichler"'
Publikováno v:
Sensors, Vol 22, Iss 22, p 8900 (2022)
RGB and depth cameras are extensively used for the 3D tracking of human pose and motion. Typically, these cameras calculate a set of 3D points representing the human body as a skeletal structure. The tracking capabilities of a single camera are often
Externí odkaz:
https://doaj.org/article/3260d062bd07467987f059cd482b21f4
Publikováno v:
Sensors, Vol 22, Iss 4, p 1557 (2022)
Automating fall risk assessment, in an efficient, non-invasive manner, specifically in the elderly population, serves as an efficient means for implementing wide screening of individuals for fall risk and determining their need for participation in f
Externí odkaz:
https://doaj.org/article/bc0ad3fb2655441a8b500ba5db13e042
Publikováno v:
IET Computer Vision, Vol 12, Iss 7, Pp 963-975 (2018)
The authors introduce a novel marker‐less multi‐camera setup that allows easy synchronisation between 3D cameras as well as a novel pose estimation method that is calculated on the fly based on the human body being tracked, and thus requires no c
Externí odkaz:
https://doaj.org/article/65456a75ee174cc1ac30fd0aaaa941c3
Autor:
Daphna Niv, Alaa Masalha, Shmuel Raz, Nadav Eichler, Adi Toledano-Shubi, Ilan Shimshoni, Hagit Hel-Or
Publikováno v:
CVPR Workshops
Accidental falls are the most frequent injury of old age and have dramatic implications on the individual, family, and the society as a whole. To date, fall prediction estimation is clinical, relying on the expertise of the physiotherapist for perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4492ac327e544c40b4ece9e6b5da2c42
https://doi.org/10.1109/cvprw50498.2020.00159
https://doi.org/10.1109/cvprw50498.2020.00159
Publikováno v:
IJCNN
Stroke is one of the most common adult injuries, with 6.5 million stroke survivors in the US alone. We use a novel motion capture system together with machine learning tools to evaluate the standard stroke rehabilitation scale, the Fugl-Meyer Assessm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e9187ba78beed9aee4ad271068691f4
https://doi.org/10.1109/ijcnn.2018.8489593
https://doi.org/10.1109/ijcnn.2018.8489593