Results 51 to 60 of about 2,864,786 (285)
Hand Pose Estimation Using Hierarchical Detection
, 2004 This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tree in order to recognize multiple object classes. We are interested in the problem of recognizing multiple patterns as it is closely related to the problem of locating an ...
Stenger, B +3 more
openaire +2 more sources
Visual-Based Fingertip Detection for Hand Rehabilitation [PDF]
Indonesian Journal of Electrical Engineering and Computer Science, 2018 <p>This paper presents a visual detection of fingertips by using a classification technique based on the bag-of-words method. In this work, the fingertips are specifically of people who are are holding a therapy ball, as it is intended to be used in a hand rehabilitation project.
Qurratu aini, D +4 more
openaire +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Multiscale Convolutional Neural Networks for Hand Detection
Applied Computational Intelligence and Soft Computing, 2017 Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition.
Shiyang Yan +4 more
doaj +1 more source
Deep Saliency with Encoded Low level Distance Map and High Level Features
, 2016 Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior results over previous works that utilize hand-crafted low level features for ...
Kim, Junmo, Lee, Gayoung, Tai, Yu-Wing
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Hand Detection Using Cascade of Softmax Classifiers
Advances in Multimedia, 2018 Sliding-window based multiclass hand posture detections are often performed by detecting postures of each predefined category using an independent detector, which makes it lack efficiency and results in high postures confusion rates in real-time ...
Yan-Guo Zhao, Feng Zheng, Zhan Song
doaj +1 more source
Combined Hand Gesture — Speech Model for Human Action Recognition
Sensors, 2013 This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng +2 more
doaj +1 more source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTSign language is a critical communication tool for individuals with hearing and speech impairments, yet its limited understanding among the general population creates significant social and professional barriers. This research proposes a real- time hand sign detection system that leverages computer vision and deep learning to bridge this gap, enabling ...
Anmol Mayank, Asmika Jain
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Hand Gesture Detection Using Neural Networks Algorithms [PDF]
International Journal of Machine Learning and Computing, 2019 © 2019 International Association of Computer Science and Information Technology. Human gesture is a form of body language usually used as a mean of communication and is very critical in human-robot interactions. Vision-based gesture recognition methods to detect hand motion are vital to support such interactions.
Alnaim, N, Abbod, M
openaire +3 more sources