Výsledky vyhledávání - "Ismael, Espinoza"

Akademický článek

Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks.

Autor: Jaramillo, Ismael Espinoza¹ (AUTHOR) inespinoza24@khu.ac.kr, Chola, Channabasava¹ (AUTHOR) channabasavac7@khu.ac.kr, Jeong, Jin-Gyun¹ (AUTHOR) wjdwlsrbs77@khu.ac.kr, Oh, Ji-Heon¹ (AUTHOR) dhwlgjs3@khu.ac.kr, Jung, Hwanseok¹ (AUTHOR) hwan136@khu.ac.kr, Lee, Jin-Hyuk¹ (AUTHOR) qlqjs3647@khu.ac.kr, Lee, Won Hee² (AUTHOR) whlee@khu.ac.kr, Kim, Tae-Seong¹ (AUTHOR) tskim@khu.ac.kr

Publikováno v: Sensors (14248220). Jul2023, Vol. 23 Issue 14, p6491. 16p.

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Akademický článek

Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks

Autor: Ismael Espinoza Jaramillo, Channabasava Chola, Jin-Gyun Jeong, Ji-Heon Oh, Hwanseok Jung, Jin-Hyuk Lee, Won Hee Lee, Tae-Seong Kim

Publikováno v: Sensors, Vol 23, Iss 14, p 6491 (2023)

Human Activity Recognition (HAR) has gained significant attention due to its broad range of applications, such as healthcare, industrial work safety, activity assistance, and driver monitoring. Most prior HAR systems are based on recorded sensor data

Externí odkaz: https://doaj.org/article/fcfaeef9f11c42e99d538b09835fd632

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Akademický článek

Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks

Autor: Ismael Espinoza Jaramillo, Jin Gyun Jeong, Patricio Rivera Lopez, Choong-Ho Lee, Do-Yeon Kang, Tae-Jun Ha, Ji-Heon Oh, Hwanseok Jung, Jin Hyuk Lee, Won Hee Lee, Tae-Seong Kim

Publikováno v: Sensors, Vol 22, Iss 24, p 9690 (2022)

Wearable exoskeleton robots have become a promising technology for supporting human motions in multiple tasks. Activity recognition in real-time provides useful information to enhance the robot’s control assistance for daily tasks. This work implem

Externí odkaz: https://doaj.org/article/6d7d7e86dc85468ba81ed075a8162712

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Akademický článek

Dexterous Object Manipulation with an Anthropomorphic Robot Hand via Natural Hand Pose Transformer and Deep Reinforcement Learning

Autor: Patricio Rivera Lopez, Ji-Heon Oh, Jin Gyun Jeong, Hwanseok Jung, Jin Hyuk Lee, Ismael Espinoza Jaramillo, Channabasava Chola, Won Hee Lee, Tae-Seong Kim

Publikováno v: Applied Sciences, Vol 13, Iss 1, p 379 (2022)

Dexterous object manipulation using anthropomorphic robot hands is of great interest for natural object manipulations across the areas of healthcare, smart homes, and smart factories. Deep reinforcement learning (DRL) is a particularly promising appr

Externí odkaz: https://doaj.org/article/0f6efd3ecc7348c092d11ef5189161ea

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Akademický článek

Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks.

Autor: Jaramillo, Ismael Espinoza¹ (AUTHOR), Jeong, Jin Gyun¹ (AUTHOR), Lopez, Patricio Rivera² (AUTHOR), Lee, Choong-Ho³ (AUTHOR), Kang, Do-Yeon³ (AUTHOR), Ha, Tae-Jun³ (AUTHOR), Oh, Ji-Heon¹ (AUTHOR), Jung, Hwanseok¹ (AUTHOR), Lee, Jin Hyuk¹ (AUTHOR), Lee, Won Hee⁴ (AUTHOR), Kim, Tae-Seong¹ (AUTHOR) tskim@khu.ac.kr

Publikováno v: Sensors (14248220). Dec2022, Vol. 22 Issue 24, p9690. 12p.

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