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ACM International Conference Proceeding Series(2)
2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018(1)
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(1)
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An automatic recognition of multi-class skin lesions via deep learning convolutional neural networks
OtherAbstract: An automatic recognition of skin lesions from dermoscopy images is a big challenge task due to the lPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleFully Autonomous Deep Learning RGB-D Vision-based Object Manipulation with an Anthropomorphic Robotic Hand
OtherAbstract: Fully autonomous object grasping with robotic hands is under active investigation because autonomousPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleEvaluation of Human Demonstration Augmented Deep Reinforcement Learning Policies via Object Manipulation with an Anthropomorphic Robot Hand
OtherAbstract: Manipulation of complex objects with an anthropomorphic robot hand like a human hand is a challengePalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleEMG Signal Processing with Clustering Algorithms for motor gesture Tasks
Conference ObjectAbstract: Recent research shows the possibility of using electromyography (EMG) electrical signals to controlPalabras claves:Butterworth Filter, DBscan, Electromyography, Fast fourier transform, hierarchical-clustering, K-MeansAutores:Diaz J., Edwin Valarezo Anazco, Enrique Pelaez, Francis R. Loayza, Mesa I., Victor Asanza ArmijosFuentes:scopusNatural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
ArticleAbstract: Human hands can perform complex manipulation of various objects. It is beneficial if anthropomorphicPalabras claves:Anthropomorphic robotic hand, Deep grasping probability network, Deep reinforcement learning, Human grasping hand poses, Natural object grasping and relocation, Natural policy gradientAutores:Al-Antari M.A., Edwin Valarezo Anazco, Kim T.S., Oh J., Park N., Rivera Lopez P., Ryu G.Fuentes:googlescopusNon-local means filter denoising for DEXA images
Conference ObjectAbstract: Dual high and low energy images of Dual Energy X-ray Absorptiometry (DEXA) suffer from noises due toPalabras claves:DEXA Images, DEXA Noise Modeling, Non-local Means Filter (NLMF)Autores:Al-Antari M.A., Al-Masni M.A., Edwin Valarezo Anazco, Gi G., Han S.M., Hussain D., Kim T.S., Kim T.Y., Metwally M., Park J.M., Park S.J., Rivera P., Shin J.S.Fuentes:googlescopusHand gesture recognition using single patchable six-axis inertial measurement unit via recurrent neural networks
ArticleAbstract: Recording human gestures from a wearable sensor produces valuable information to implement control gPalabras claves:Control gestures, Hand gesture recognition, Patchable IMU, Recurrent Neural Network, Six-axis inertial sensorAutores:Edwin Valarezo Anazco, Han S.J., Kim K., Kim T.S., Lee S., Rivera P.Fuentes:googlescopusHuman activities recognition with a single writs imu via a variational autoencoder and android deep recurrent neural nets
ArticleAbstract: Human Activity Recognition (HAR) is an active research field because of its versatility towards variPalabras claves:Android Deep Recurrent Neural Networks, Denoising Autoencoder, Human activity recognition, Mobile applicationAutores:Edwin Valarezo Anazco, Kim T.S., Park H., Park N., Rivera P.Fuentes:googlescopusHuman activity recognition using a single wrist IMU sensor via deep learning convolutional and recurrent neural nets
OtherAbstract: In this paper, the authors aimed to propose novel deep learning-based HAR systems with a single wrisPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleHuman-like Object Grasping and Relocation for an Anthropomorphic Robotic Hand with Natural Hand Pose Priors in Deep Reinforcement Learning
Conference ObjectAbstract: Anthropomorphic manipulators such as robotic hands (i.e., agent) can be used to perform complex objePalabras claves:Anthropomorphic Hand Manipulation, Deep Reinforcement Learning., Human-Like Object Grasping, Natural Hand Pose PriorAutores:Byun K., Edwin Valarezo Anazco, Kim T.S., Lee S., Oh J., Park H., Park N., Rivera P.Fuentes:googlescopus