Marco Benalcázar
Orcid: 0000-0002-5275-7262
According to our database1,
Marco Benalcázar
authored at least 30 papers
between 2012 and 2024.
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Bibliography
2024
Intell. Syst. Appl., 2024
2023
Int. J. Comput. Intell. Syst., December, 2023
Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks.
Sensors, 2023
A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning.
Eng. Appl. Artif. Intell., 2023
Hand Gesture Recognition Using Automatic Feature Extraction and Deep Learning Algorithms with Memory.
Big Data Cogn. Comput., 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Hand gesture recognition using machine learning and infrared information: a systematic literature review.
Int. J. Mach. Learn. Cybern., 2021
Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter.
Proceedings of the Robot Intelligence Technology and Applications 6, 2021
A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
An interactive system to improve cognitive abilities using electromyographic signals.
Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021
2020
Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms.
Sensors, 2020
An Energy-Based Method for Orientation Correction of EMG Bracelet Sensors in Hand Gesture Recognition Systems.
Sensors, 2020
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review.
Sensors, 2020
2019
Technical Mapping of the Grooming Anatomy Using Machine Learning Paradigms: An Information Security Approach.
IEEE Access, 2019
Real-Time Hand Gesture Recognition Using the Leap Motion Controller and Machine Learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Short-Term Hand Gesture Recognition using Electromyography in the Transient State, Support Vector Machines, and Discrete Wavelet Transform.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Real-Time Hand Gesture Recognition Based on Artificial Feed-Forward Neural Networks and EMG.
Proceedings of the 26th European Signal Processing Conference, 2018
Virtual Rehabilitation System for Fine Motor Skills Using a Functional Hand Orthosis.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2018
2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
2015
Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes.
IEEE Trans. Signal Process., 2015
2014
Automatic design of aperture filters using neural networks applied to ocular image segmentation.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Pattern Recognit. Lett., 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Automatic Design of Binary W-Operators Using Artificial Feed-Forward Neural Networks Based on the Weighted Mean Square Error Cost Function.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012