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Mostrando las entradas con la etiqueta etcm

▷ #EMG Signal Processing with #Clustering Algorithms for Motor Gesture Tasks

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⭐⭐⭐⭐⭐   EMG Signal Processing with Clustering Algorithms for Motor Gesture Tasks from Victor Asanza Armijos ➡️ #EMG #Classification #HumanMachineInterface #Clustering #MachineLearning ➡️ ETCM2018:  IEEE Ecuador Technical Chapters Meeting (ETCM) ⭐  Read full paper:  https://ieeexplore.ieee.org/abstract/document/8580270 When using this resource, please cite the original publication: Asanza, V., Peláez, E., Loayza, F., Mesa, I., Díaz, J., & Valarezo, E. (2018, October). EMG Signal Processing with Clustering Algorithms for motor gesture Tasks. In 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM) (pp. 1-6). IEEE. ✅  Abstract: Recent research shows the possibility of using #Electromyography (EMG) electrical signals to control devices or prosthesis. The #EMG signals are measured in muscles, such as the forearm. These signals can lead to determine the intentionality of the patient when performing any motor tasks, however the signals are susceptible to ...

▷ Finding a Dynamical Model of a Social Norm Physical Activity Intervention

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⭐⭐⭐⭐⭐ Finding a Dynamical Model of a Social Norm Physical Activity Intervention from Victor Asanza Armijos ➡️ # ComputationalModeling #MathematicalModel #SystemIdentification #AtmosphericMeasurements #ParticleMeasurements #LeggedLocomotion #DataModels #SocialCognitiveTheory #SCT #Matlab #ModernControlTheory ➡️  ETCM:  IEEE Ecuador Technical Chapters Meeting (ETCM - 2017) ⭐  Read full paper:  https://ieeexplore.ieee.org/abstract/document/8247450 ✅ Read Proceedings:  https://ieeexplore.ieee.org/xpl/conhome/8232983/proceeding ⭐  Source code repository:  https://github.com/Matlab-Applications When using this resource, please cite the original publication: V. Asanza, C. A. Martin, P. Eslambolchilar, H. van Woerden, R. Cajo and C. Salazar, "Finding a dynamical model of a social norm physical activity intervention," 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), 2017, pp. 1-6, doi: 10.1109/ETCM.2017.8247450. Abstract: Low levels of physica...

▷ Supervised Pattern Recognition Techniques for Detecting Motor Intention of Lower Limbs in Subjects with Cerebral Palsy

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⭐⭐⭐⭐⭐   Supervised Pattern Recognition Techniques for Detecting Motor Intention of Lower Limbs in Subjects with Cerebral Palsy from Victor Asanza Armijos ➡️ #EEG #Classification #HumanMachineInterface #BCI #BrainComputerInterface ➡️ ETCM:  IEEE Ecuador Technical Chapters Meeting (ETCM2017) ⭐  Read full paper:  https://ieeexplore.ieee.org/abstract/document/8247452 ✅  Read Proceedings:  https://ieeexplore.ieee.org/xpl/conhome/8232983/proceeding When using this resource, please cite the original publication: V. Asanza, E. Pelaez and F. Loayza, "Supervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy," 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), 2017, pp. 1-5, doi: 10.1109/ETCM.2017.8247452. Abstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having free control over their limbs, currently the use of electroencephalography (EEG) s...

▷ #Clustering of #EEG Occipital Signals using K-means ( #IEEE Ecuador Technical Chapters Meeting - #ETCM2016)

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⭐ ⭐ ⭐ ⭐ ⭐   Presentation of the article Clustering of EEG Occipital Signals using K-means (IEEE Ecuador Technical Chapters Meeting - ETCM2016) from Victor Asanza Armijos ➡️ #EEG #Clustering #HumanMachineInterface #BCI #BrainComputerInterface #SSVEP #EMOTIV ➡️ ETCM:   IEEE Ecuador Technical Chapters Meeting (ETCM2016) ⭐  Read full paper:  https://ieeexplore.ieee.org/abstract/document/7750874 ✅  Read Proceedings:  https://ieeexplore.ieee.org/xpl/conhome/7743709/proceeding When using this resource, please cite the original publication: V. Asanza et al., "Clustering of EEG occipital signals using k-means," 2016 IEEE Ecuador Technical Chapters Meeting (ETCM), 2016, pp. 1-5, doi: 10.1109/ETCM.2016.7750874. Abstract: Recent studies show that it is feasible to use electrical signals from Electro-encephalography (EEG) to control devices or prostheses, these signals are provided by the body and can be measured on the scalp to determine the intent of the person ...