Results 231 to 240 of about 6,510,714 (295)

Spatiotemporal characteristics of environmental microbial communities and resistomes in intensive care units of a tertiary hospital in northwest China. [PDF]

Front Microbiol
Yan J, Ren Q, He X, Du H, He L, Zheng Z, Qi Y, Xian X.   +7 more
europepmc   +1 more source

Deep learning-based multiclass classification for the diagnosis of hand arthritis on digital radiography: a multicenter study. [PDF]

Front Med (Lausanne)
Deng C, Yan D, Tang C, Deng X, Li C, Chen X, Deng L, Wu Z.   +7 more
europepmc   +1 more source

Molecular Identification of Biofilm-producing <i>Staphylococcus aureus</i> in Contact Lens Storage Solutions. [PDF]

J Ophthalmic Vis Res
Atighehchian M, Shabani M, Abedinifar Z, Manoochehri Z, Zarei-Ghanavati M.   +4 more
europepmc   +1 more source

Quantitative Evaluation of OpenCV Visual Tracking Algorithms for Drawn Markers Under Dynamic Facial Deformation. [PDF]

Sensors (Basel)
Tkaczyk K, Sitnik R.
europepmc   +1 more source

Robust hand detection

Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., 2004
Vision-based hand gesture interfaces require fast and extremely robust hand detection. Here, we study view-specific hand posture detection with an object recognition method proposed by Viola and Jones. Training with this method is computationally very expensive, prohibiting the evaluation of many hand appearances for their suitability to detection.
Mathias Kölsch, Matthew Turk 0001
openaire   +3 more sources

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Hand and Fingertip Detection for Game-Based Hand Rehabilitation

2021 IEEE International Conference on Big Data and Smart Computing (BigComp), 2021
Hand rehabilitation is the process of recovering hand movements to return to normal. For rehabilitation to be effective, it is necessary for patients to practice repetitive movements. During the process, the patients usually feel bored, lack motivation and enjoyable time.
Nattarika Potigutsai, Ohm Sornil
openaire   +2 more sources

Hand gesture detection and extraction

2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013
A novel algorithm for detecting and extracting hand gestures is proposed which uses an on-line adaptive learning approach to fit the hand skin color distribution of each individual user in various environments. The on-line adaptive skin-color learning approach is designed by two strategies: negative skin-color exclusion and dynamic skin-color standard ...
Yea-Shuan Huang, Yu-Chung Chen, Fang-Hsuan Cheng   +2 more
openaire   +1 more source