A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
State-of-the-art in data gloves: A review of hardware, algorithms, and applications
M Pan, Y Tang, H Li - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Data glove is one of the devices that can express human intention via detecting hand motion
with high precision. In recent years, flourished applications have been driven by data gloves …
with high precision. In recent years, flourished applications have been driven by data gloves …
A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions
Short-term building energy predictions serve as one of the fundamental tasks in building
operation management. While large numbers of studies have explored the value of various …
operation management. While large numbers of studies have explored the value of various …
[HTML][HTML] Object tracking and detection techniques under GANN threats: A systemic review
SM Al Jaberi, A Patel, AN Al-Masri - Applied Soft Computing, 2023 - Elsevier
Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …
Shoulder motion intention detection through myoelectric pattern recognition
In this letter, a motion intention detection (MID) problem from surface electromyographic
(sEMG) signals, involving upper limbs, was faced through a pattern recognition approach …
(sEMG) signals, involving upper limbs, was faced through a pattern recognition approach …
[HTML][HTML] Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals
The number of individuals who have lost their fingers in our world is quite high and these
individuals experience great difficulties in performing their daily work. Finger movements …
individuals experience great difficulties in performing their daily work. Finger movements …
[HTML][HTML] Sign-to-Text Translation from Panamanian Sign Language to Spanish in Continuous Capture Mode with Deep Neural Networks
Convolutional neural networks (CNN) have provided great advances for the task of sign
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …
Machine learning-based hand gesture recognition via EMG data
Z Karapinar Senturk, M Sevgul Bakay - 2021 - gredos.usal.es
Electromyography (EMG) data gives information about the electrical activity related to
muscles. EMG data obtained from arm through sensors helps to understand hand gestures …
muscles. EMG data obtained from arm through sensors helps to understand hand gestures …
Accurate hand detection from single-color images by reconstructing hand appearances
C Xu, W Cai, Y Li, J Zhou, L Wei - Sensors, 2019 - mdpi.com
Hand detection is a crucial pre-processing procedure for many human hand related
computer vision tasks, such as hand pose estimation, hand gesture recognition, human …
computer vision tasks, such as hand pose estimation, hand gesture recognition, human …
[PDF][PDF] Improving Conditional Variational Autoencoder with Resampling Strategies for Regression Synthetic Project Generation.
The uncertainty inherent in the predictive environment of software effort estimation, is due to
the limited availability of data information and the expensive costs associated with data …
the limited availability of data information and the expensive costs associated with data …