Real-time hand gesture recognition based on electromyographic signals and artificial neural networks

C Motoche, ME Benalcázar - … and Machine Learning–ICANN 2018: 27th …, 2018 - Springer
In this paper, we propose a hand gesture recognition model based on superficial
electromyographic signals. The model responds in approximately 29.38 ms (real time) with a …

[書籍][B] Digital transformation of enterprise architecture

V Kale - 2019 - taylorfrancis.com
" In this book, Vivek Kale makes an important contribution to the theory and practice of
enterprise architecture… this book captures the breadth and depth of information that a …

Two viewpoints based real‐time recognition for hand gestures

A Krishan Kumar, A Kaushal Kumar… - IET Image …, 2020 - Wiley Online Library
It is extremely challenging to accomplish excellent accuracy for gesture recognition using an
approach where complexity in computation time for recognition is less. This study compares …

Finger gesture recognition with smart skin technology and deep learning

L Ben-Ari, A Ben-Ari, C Hermon… - Flexible and Printed …, 2023 - iopscience.iop.org
Finger gesture recognition (FGR) was extensively studied in recent years for a wide range of
human-machine interface applications. Surface electromyography (sEMG), in particular, is …

The Associations between Knowledge and Behaviours Related to Touch Screens and Microbiological Threats among IT Students'

D Oszutowska-Mazurek, J Fastowicz… - International Journal of …, 2021 - mdpi.com
Current issue like the COVID–19 pandemic show how elementary knowledge and hygiene
behaviours are important for ordinary people. Microbiological hazards, not just viruses, can …

A model for real-time hand gesture recognition using electromyography (EMG), covariances and feed-forward artificial neural networks

ME Benalcázar, J González… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Hand gesture recognition has many applications that require models to work in real time and
with high recognition accuracy. The problem of hand gesture recognition involves identifying …

[書籍][B] Science in design: Solidifying design with science and technology

T Grover, M Thareja - 2020 - taylorfrancis.com
There is an important overlap between science and design. The most significant
technological developments cannot be produced without designers to conceptualize them …

Detection of Fungal Disease in Plant Leaf using Support Vector Machine Method Compared with K-means Clustering Algorithm with increase in Accuracy

PCK Reddy, BT Geetha - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
This research perspective is implementation of a support vector machine algorithm to detect
the disease in plant leaves compared with k-means clustering algorithm to increase …

[引用][C] Semiologic process in the performance of a dance performance: a critical review

N Ollora-Triana… - … y Sociedad 36 …, 2024 - Universidad Complutense de Madrid

Fuzzy-Based Stratagem for Teleoperation of Robots in Incoherent Environments

S Saha, R Lahiri, A Konar - Advances in Antenna, Signal …, 2021 - taylorfrancis.com
This chapter provides an interesting system for robot controlling in incoherent environments
(like, a battlefield, space, or underwater) using human gestures. In this type of places where …