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Natural 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-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:googlescopusObject manipulation with an anthropomorphic robotic hand via deep reinforcement learning with a synergy space of natural hand poses
ArticleAbstract: Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like hPalabras claves:Anthropomorphic robotic hand, Deep reinforcement learning, Natural hand poses, Object grasping, Object relocation, Synergy spaceAutores:Edwin Valarezo Anazco, Kim T.S., Rivera P.Fuentes:googlescopusSmoking activity recognition using a single wrist IMU and deep learning light
Conference ObjectAbstract: Smoking has a strongly relation with diseases such as lung cancer, chronic obstructive pulmonary disPalabras claves:Activity Recognition, Deep Learning Light, IMU, Recurrent Neural Network, Smart Band, Smoking GesturesAutores:Byun K., Edwin Valarezo Anazco, Kim T.S., Lee S., Rivera P.Fuentes:googlescopus