Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Jean Meunier"'
Autor:
Miao Feng, Jean Meunier
Publikováno v:
Algorithms, Vol 16, Iss 12, p 552 (2023)
Recognizing human actions can help in numerous ways, such as health monitoring, intelligent surveillance, virtual reality and human–computer interaction. A quick and accurate detection algorithm is required for daily real-time detection. This paper
Externí odkaz:
https://doaj.org/article/2ceb68e86e094291a4f594e3e17120e3
Autor:
Trong-Nguyen Nguyen, Jean Meunier
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-13 (2019)
Abstract This paper proposes a method estimating an index that indicates human gait normality based on a sequence of 3D point clouds representing the walking motion of a subject. A cylinder-based histogram is extracted from each cloud to reduce the n
Externí odkaz:
https://doaj.org/article/a48d4c4245624638930f6c917bc73fda
Autor:
Miao Feng, Jean Meunier
Publikováno v:
Sensors, Vol 22, Iss 6, p 2091 (2022)
Human action recognition has been applied in many fields, such as video surveillance and human computer interaction, where it helps to improve performance. Numerous reviews of the literature have been done, but rarely have these reviews concentrated
Externí odkaz:
https://doaj.org/article/6821764fbc6b421a926f01e256cf431e
Publikováno v:
IEEE Access, Vol 6, Pp 38106-38114 (2018)
In order to extract more detailed features, many recent practical applications work with 3-D models instead of 2-D images. However, 3-D reconstruction usually requires either multiple cameras or a depth sensor and a turntable. This paper proposes an
Externí odkaz:
https://doaj.org/article/3dd680bae7854cd7a627fd4c230e86d5
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 4605-4623 (2015)
Background: Various asymmetry indices have been proposed to compare the spatiotemporal, kinematic and kinetic parameters of lower limbs during the gait cycle. However, these indices rely on gait measurement systems that are costly and generally requi
Externí odkaz:
https://doaj.org/article/b1c2878eaeac4bd1a9d539ef976cc114
Publikováno v:
Sensors, Vol 19, Iss 4, p 891 (2019)
In this paper, we introduce an approach for measuring human gait symmetry where the input is a sequence of depth maps of subject walking on a treadmill. Body surface normals are used to describe 3D information of the walking subject in each frame. Tw
Externí odkaz:
https://doaj.org/article/1238a29d0e714686a197112440938ce9
Publikováno v:
Sensors, Vol 16, Iss 11, p 1792 (2016)
Human gait analysis plays an important role in musculoskeletal disorder diagnosis. Detecting anomalies in human walking, such as shuffling gait, stiff leg or unsteady gait, can be difficult if the prior knowledge of such a gait pattern is not availab
Externí odkaz:
https://doaj.org/article/c8b3c8d958fd4589b4e32465c5347117
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:2287-2300
Anomaly detection is a key functionality in various vision systems, such as surveillance and security. In this work, we present a convolutional neural network (CNN) that supports the detection of anomaly, which has not been defined when building the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33089c6b4e5c32df9dec6cabb7345df1
https://doi.org/10.1109/tnnls.2021.3116212
https://doi.org/10.1109/tnnls.2021.3116212
Autor:
Khac Chinh Tran, Meryem Gassi, Perla Nehme, Jacqueline Rousseau, Tan Khoi Nguyen, Jean Meunier
Publikováno v:
2022 E-Health and Bioengineering Conference (EHB).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bed7fe313b92f7bd61e8102cccc53b76
https://doi.org/10.1109/ehb55594.2022.9991343
https://doi.org/10.1109/ehb55594.2022.9991343
Publikováno v:
2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5f8adc704520b0db959b947f6b46fe
https://doi.org/10.1109/bibe55377.2022.00031
https://doi.org/10.1109/bibe55377.2022.00031