Results 61 to 70 of about 8,063 (296)

Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking

open access: yesVietnam Journal of Computer Science, 2023
Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le   +8 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS 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

Robust gesture recognition method toward intelligent environment using Wi-Fi signals [PDF]

open access: yes
Wi-Fi-based gesture recognition represents an emerging paradigm of human–computer interaction. While deep learning-based and model-based solutions are crucial for improving accuracy and generalization performance, they often depend heavily on extensive ...
Xie, Weiliang   +6 more
core   +2 more sources

View Invariant Gait Recognition [PDF]

open access: yes, 2009
Recognition by gait is of particular interest since it is the biometric that is available at the lowest resolution, or when other biometrics are (intentionally) obscured. Gait as a biometric has now shown increasing recognition capability. There are many
Mark S. Nixon   +7 more
core   +1 more source

A Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors

open access: yesAdvanced Sensor Research, 2023
Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand is relatively smaller, with very complex articulations than the entire human body.
Shengshun Duan   +6 more
doaj   +1 more source

Improvement of Continuous Dynamic Programming for Human Gesture Recognition

open access: yesTransactions of the Institute of Systems, Control and Information Engineers, 2001
This paper describes an improved continuous dynamic programming (CDP) for human gesture recognition. In order to cope with the variation in the amplitude of the input signal, a reference pattern set containing patterns with different mean amplitudes is used instead of a single reference pattern.
WU, Haiyuan   +2 more
openaire   +2 more sources

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

User-defined interface gestures : dataset and analysis [PDF]

open access: yes, 2014
We present a video-based gesture dataset and a methodology for annotating video-based gesture datasets. Our dataset consists of user-defined gestures generated by 18 participants from a previous investigation of gesture memorability.
Per Ola Kristensson   +6 more
core   +1 more source

Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network

open access: yesSensors, 2020
Dynamic hand gesture recognition is one of the most significant tools for human–computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Linchu Yang, Ji’an Chen, Weihang Zhu
doaj   +1 more source

A Depth-based Approach for 3D Dynamic Gesture Recognition

open access: yesProceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, 2015
In this paper we propose a recognition technique of 3D dynamic gesture for human robot interaction (HRI) based on depth information provided by Kinect sensor. The body is tracked using the skeleton algorithm provided by the Kinect SDK. The main idea of this work is to compute the angles of the upper body joints which are active when executing gesture ...
Hiyadi, Hajar   +4 more
openaire   +2 more sources

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