Results 51 to 60 of about 247,273 (276)

A Joint Gesture-Identity Recognition Framework Based on 4D Millimeter-Wave Radar Sensing

Sensors
Gestures serve as an intuitive and natural medium for conveying human intent and personal identity, offering a convenient, contactless, and privacy-preserving interaction modality for human–computer interaction (HCI) systems.
Yifan Wu, Li Wu, Taiyang Hu, Zelong Xiao, Jinyu Zhang, Mengxuan Xiao   +5 more
doaj   +1 more source

Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning

Journal of Harbin University of Science and Technology, 2021
Most of the existing gesture recognition applications are based on specific devices, such as Kinect, Leap Motion, etc. Because of its price and practicability, it can not be widely used. Monocular camera is the most common accessory of computer or mobile
SUNBo wen, YU Feng
doaj   +1 more source

A color hand gesture database for evaluating and improving algorithms on hand gesture and posture recognition [PDF]

, 2005
With the increase of research activities in vision-based hand posture and gesture recognition, new methods and algorithms are being developed. Although less attention is being paid to developing a standard platform for this purpose.
Barczak, Andre L.C., Dadgostar, Farhad, Sarrafzadeh, Abdolhossein   +2 more
core  

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, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Hand Gesture Recognition

REST Journal on Data Analytics and Artificial Intelligence
The "Real-Time Hand Gesture Recognition System" aims to enhance human-computer interaction using computer vision and machine learning techniques. Using the webcam for real-time video capture, the system uses OpenCV to process each frame in real-time. Thus, it recognizes hand gestures using models such as Cvzone's, Hand Detector or Mediapipe.
null Aashima Gupta, null Krishna Balaji, null Preeti Kalra   +2 more
  +4 more sources

Application of gesture recognition based on domain transfer learning and SimSiam network in education management

Journal of Applied Science and Engineering
As one of the important components of augmented reality system, gesture recognition is widely used in virtual reality, intelligent interaction and human-machine interface.
Xiaoxu He
doaj   +1 more source

Gesture Recognition Aplication based on Dynamic Time Warping (DTW) FOR Omni-Wheel Mobile Robot [PDF]

, 2011
This project presents of the movement of omni-wheel robot moves in the trajectory obtained from the gesture recognition system based on Dynamic Time Warping. Single camera is used as the input of the system, which is also a reference to the movement
Gama, Indra
core  

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Robust Hand Gesture Recognition Based on RGB-D Data for Natural Human–Computer Interaction

IEEE Access, 2022
To naturally interact with virtual environment by hand gesture, this paper presents a robust RGB-D data based recognition method of static and dynamic hand gesture.
Jun Xu, Hanchen Wang, Jianrong Zhang, Linqin Cai   +3 more
doaj   +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, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source