Results 31 to 40 of about 6,664 (259)

Hand Gesture Detection Using Neural Networks Algorithms [PDF]

open access: yesInternational Journal of Machine Learning and Computing, 2019
Ministry of Higher Education in Saudi ...
Alnaim, N, Abbod, M
openaire   +2 more sources

Hand gesture detection in tests performed by older adults

open access: yesCoRR, 2021
Our team are developing a new online test that analyses hand movement features associated with ageing that can be completed remotely from the research centre. To obtain hand movement features, participants will be asked to perform a variety of hand gestures using their own computer cameras.
Guan Huang 0001   +3 more
openaire   +2 more sources

Alternating Electric Field-Based Static Gesture-Recognition Technology

open access: yesSensors, 2019
Currently, gesture recognition based on electric-field detection technology has received extensive attention, which is mostly used to recognize the position and the movement of the hand, and rarely used for identification of specific gestures.
Haoyu Wei   +4 more
doaj   +1 more source

Wrist detection based on a minimum bounding box and geometric features

open access: yesJournal of King Saud University: Computer and Information Sciences, 2020
Wrist detection is a crucial element in the hand-pose estimation and hand-gesture recognition processes in Human-Computer Interaction applications. Most methods use horizontal parallel lines to scan for the location of a wrist line.
Andi Sunyoto   +3 more
doaj   +1 more source

Static and Dynamic Hand Gestures: A Review of Techniques of Virtual Reality Manipulation

open access: yesSensors
This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications.
Oswaldo Mendoza Herbert   +5 more
doaj   +1 more source

Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System

open access: yesSensors
Hand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng   +3 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

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Advanced Hand Gesture Prediction Robust to Electrode Shift with an Arbitrary Angle

open access: yesSensors, 2020
Recent advances in myoelectric controlled techniques have made the surface electromyogram (sEMG)-based sensing armband a promising candidate for acquiring bioelectric signals in a simple and convenient way.
Zhenjin Xu   +3 more
doaj   +1 more source

Architecture Design and VLSI Implementation of 3D Hand Gesture Recognition System

open access: yesSensors, 2021
With advancements in technology, more and more research is being focused on enhancing daily life quality and convenience. Along with the increase in the development of gesture control systems, many controllers, such as the keyboard, mouse, and other ...
Tsung-Han Tsai, Yih-Ru Tsai
doaj   +1 more source

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