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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
(like, a battlefield, space, or underwater) using human gestures. In this type of places where …