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Marco Benalcázar
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2020 – today
- 2024
- [j13]Lorena Isabel Barona López, Francis M. Ferri, Jonathan A. Zea
, Ángel Leonardo Valdivieso Caraguay, Marco E. Benalcázar:
CNN-LSTM and post-processing for EMG-based hand gesture recognition. Intell. Syst. Appl. 22: 200352 (2024) - 2023
- [j12]Rubén Nogales
Hand Gesture Recognition Using Automatic Feature Extraction and Deep Learning Algorithms with Memory. Big Data Cogn. Comput. 7(2): 102 (2023) - [j11]Juan Pablo Vásconez
A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning. Eng. Appl. Artif. Intell. 123(Part B): 106327 (2023) - [j10]Rubén Nogales
Analysis and Evaluation of Feature Selection and Feature Extraction Methods. Int. J. Comput. Intell. Syst. 16(1): 153 (2023) - [j9]Ángel Leonardo Valdivieso Caraguay
Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks. Sensors 23(8): 3905 (2023) - [c16]Lorena Isabel Barona López, César Israel León Cifuentes, José Miguel Muñoz Oña, Ángel Leonardo Valdivieso Caraguay, Marco E. Benalcázar:
Hand Gesture Recognition Applied to the Interaction with Video Games. MICAI (1) 2023: 36-52 - 2022
- [j8]Juan Pablo Vásconez
Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks. Sensors 22(24): 9613 (2022) - [c15]Andres G. Jaramillo-Yanez, Marco E. Benalcázar, Sebastian Sardiña, Fabio Zambetta:
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces. AAAI 2022: 6996-7004 - 2021
- [j7]Rubén Nogales
Hand gesture recognition using machine learning and infrared information: a systematic literature review. Int. J. Mach. Learn. Cybern. 12(10): 2859-2886 (2021) - [c14]Marco E. Benalcázar, Xavier Aguas, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Rubén Nogales, Jaime Guilcapi, Freddy Benalcázar:
An interactive system to improve cognitive abilities using electromyographic signals. ICAAI 2021: 84-90 - [c13]Juan Pablo Vásconez
A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach. ICANN (4) 2021: 580-591 - [c12]Ricardo Romero
Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter. RiTA 2021: 363-377 - 2020
- [j6]Andres Jaramillo-Yanez
Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review. Sensors 20(9): 2467 (2020) - [j5]Giovanni Saggio
Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms. Sensors 20(14): 3879 (2020) - [j4]Lorena Isabel Barona López
An Energy-Based Method for Orientation Correction of EMG Bracelet Sensors in Hand Gesture Recognition Systems. Sensors 20(21): 6327 (2020)
2010 – 2019
- 2019
- [j3]Patricio Zambrano
Technical Mapping of the Grooming Anatomy Using Machine Learning Paradigms: An Information Security Approach. IEEE Access 7: 142129-142146 (2019) - [c11]Edison A. Chung, Marco E. Benalcázar:
Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals. EUSIPCO 2019: 1-5 - [c10]Andres Jaramillo-Yanez, Luis Unapanta, Marco E. Benalcázar:
Short-Term Hand Gesture Recognition using Electromyography in the Transient State, Support Vector Machines, and Discrete Wavelet Transform. LA-CCI 2019: 1-6 - [c9]Rubén Nogales
Real-Time Hand Gesture Recognition Using the Leap Motion Controller and Machine Learning. LA-CCI 2019: 1-7 - 2018
- [c8]Manuel A. León, Paúl A. Romero, Washington X. Quevedo
Virtual Rehabilitation System for Fine Motor Skills Using a Functional Hand Orthosis. AVR (2) 2018: 78-94 - [c7]Marco E. Benalcázar, Carlos E. Anchundia, Jonathan A. Zea
Real-Time Hand Gesture Recognition Based on Artificial Feed-Forward Neural Networks and EMG. EUSIPCO 2018: 1492-1496 - [c6]Cristhian Motoche, Marco E. Benalcázar:
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks. ICANN (1) 2018: 352-361 - [i1]Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty:
Optimal Clustering under Uncertainty. CoRR abs/1806.00672 (2018) - 2017
- [c5]Marco E. Benalcázar
Hand gesture recognition using machine learning and the Myo armband. EUSIPCO 2017: 1040-1044 - [c4]Pablo S. Aulestia, Jonathan S. Talahua
Real-Time Face Detection Using Artificial Neural Networks. ICANN (2) 2017: 590-599 - 2015
- [j2]Lori A. Dalton, Marco Benalcázar
Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes. IEEE Trans. Signal Process. 63(6): 1605-1620 (2015) - 2014
- [c3]Marco Benalcázar, Marcel Brun, Virginia Laura Ballarin:
Automatic design of aperture filters using neural networks applied to ocular image segmentation. EUSIPCO 2014: 2195-2199 - 2013
- [j1]Marco Benalcázar
Artificial neural networks applied to statistical design of window operators. Pattern Recognit. Lett. 34(9): 970-979 (2013) - [c2]Lori A. Dalton, Marco Benalcázar
Bayes clustering operators for known random labeled point processes. ACSSC 2013: 893-897 - 2012
- [c1]Marco Benalcázar
Automatic Design of Binary W-Operators Using Artificial Feed-Forward Neural Networks Based on the Weighted Mean Square Error Cost Function. CIARP 2012: 495-502
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