Results 101 to 110 of about 8,063 (296)
3D gesture recognition based on dynamic template matching algorithm for intelligent wearable devices
物联网学报, 2019 With the popularity of Internet of things equipment,the smart wearing equipment industry develops rapidly,in which wristband smart bracelets and watches are the mainstream.Intelligent wearable devices have abundant sensors and certain computing power.As ...
Yunhe LI
doaj +2 more sources
Hand Motion and Posture Recognition in a Network of Calibrated Cameras
Advances in Multimedia, 2017 This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter.
Jingya Wang, Shahram Payandeh
doaj +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Intelligent emotion recognition from facial and whole-body expressions using adaptive ensemble models [PDF]
, 2015 Automatic emotion recognition has been widely studied and applied to various computer vision tasks (e.g. health monitoring, driver state surveillance, personalized learning, and security monitoring).
Zhang, Yang
core
Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results. [PDF]
Sensors (Basel), 2023 Tang G, Wu T, Li C.
europepmc +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Gesture Recognition using Recurrent Neural Networks [PDF]
, 1991 A gesture recognition method for Japanese sign language is presented. We have developed a posture recognition system using neural networks which could recognize a finger alphabet of 42 symbols.
Hitomi Taguchi, Kouichi Murakami
core +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Retracted: Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition [PDF]
, 2012 This paper is concerned with the recognition of dynamic hand gestures. A method based on Hidden Markov Models HMMs is presented for dynamic gesture trajectory modeling and recognition.
CATTANI, Carlo +4 more
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