Results 61 to 70 of about 143,707 (286)

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

open access: yes, 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  

BodySpace: inferring body pose for natural control of a music player [PDF]

open access: yes, 2007
We describe the BodySpace system, which uses inertial sensing and pattern recognition to allow the gestural control of a music player by placing the device at different parts of the body.
Murray-Smith, R.   +2 more
core   +3 more sources

Dynamic gesture recognition and human-computer interaction [PDF]

open access: yesAdvances in Computer Science Research, 2015
In this paper, the recognition algorithm of dynamic gestures, which based on depth information, is proposed. A new human-computer interaction controlled by dynamic gestures is also achieved. The proposed algorithm extracts Histogram of Oriented Gradients (HOG) and weighted Hu invariant moments from RGB and depth map of the interested region of gestures
Guixi Liu, Jiali Zhang
openaire   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +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

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +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

Design and Implementation of Virtual Reality Interactive Product Software Based on Artificial Intelligence Deep Learning Algorithm

open access: yesAdvances in Multimedia, 2022
The aim of this study is to improve the interactive needs of artificial intelligence in the virtual reality environment. Based on the in-depth study of the interactive needs of virtual reality, a virtual reality interactive glove based on nine-axis ...
Yi Wang, Junhai Sun
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

Deep Learning-Based Approach for Sign Language Gesture Recognition With Efficient Hand Gesture Representation

open access: yesIEEE Access, 2020
Hand gesture recognition is an attractive research field with a wide range of applications, including video games and telesurgery techniques. Another important application of hand gesture recognition is the translation of sign language, which is a ...
Muneer Al-Hammadi   +7 more
doaj   +1 more source

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