Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Edwin Valarezo Añazco"'
Autor:
Bolivar Núñez Montoya, Edwin Valarezo Añazco, Sara Guerrero, Mauricio Valarezo-Añazco, Daniela Espin-Ramos, Carlos Jiménez Farfán
Publikováno v:
Prosthesis, Vol 5, Iss 4, Pp 1287-1300 (2023)
The evolution of anthropomorphic robotic hands (ARH) in recent years has been sizable, employing control techniques based on machine learning classifiers for myoelectric signal processing. This work introduces an innovative multi-channel bio-signal t
Externí odkaz:
https://doaj.org/article/1bc784b650514a249a58d089d7fb202c
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 24-35 (2021)
Abstract Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruction algorithms. An alternative approach is to infer the 3D shape of an object from a single depth image (i.e. single depth view). This st
Externí odkaz:
https://doaj.org/article/87d129008dbb430b9e29edde534aa967
Publikováno v:
Sensors, Vol 21, Iss 16, p 5301 (2021)
Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand
Externí odkaz:
https://doaj.org/article/ff9d3954584440a8949d86fa3f48a0b6
Autor:
Edwin Valarezo Añazco, Seung Ju Han, Kangil Kim, Patricio Rivera Lopez, Tae-Seong Kim, Sangmin Lee
Publikováno v:
Sensors, Vol 21, Iss 4, p 1404 (2021)
Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research
Externí odkaz:
https://doaj.org/article/0f5cdb7463e04c7e89e3e7a4d15a6037
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 24-35 (2021)
Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruction algorithms. An alternative approach is to infer the 3D shape of an object from a single depth image (i.e. single depth view). This study prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81229f7ee58a9e29327e2a80e122e870
https://doi.org/10.1049/cvi2.12014
https://doi.org/10.1049/cvi2.12014
Autor:
Edwin Valarezo Añazco, Gahyeon Ryu, Tae-Seong Kim, Patricio Rivera Lopez, Mugahed A. Al-antari, Nahyeon Park, Jiheon Oh
Publikováno v:
Applied Intelligence. 51:1041-1055
Human hands can perform complex manipulation of various objects. It is beneficial if anthropomorphic robotic hands can manipulate objects like human hands. However, it is still a challenge due to the high dimensionality and a lack of machine intellig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc11bf703a48ed848851420c052c410
https://doi.org/10.1007/s10489-020-01870-6
https://doi.org/10.1007/s10489-020-01870-6
Publikováno v:
IET Image Processing. 13:2457-2466
In this study, the authors propose a novel three-dimensional (3D) convolutional neural network for shape reconstruction via a trilateral convolutional neural network (Tri-CNN) from a single depth view. The proposed approach produces a 3D voxel repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dec18620175f12daca5ba534f36ba215
https://doi.org/10.1049/iet-ipr.2019.0532
https://doi.org/10.1049/iet-ipr.2019.0532
Autor:
Sangmin Lee, Seung Ju Han, Kang-Il Kim, Patricio Rivera Lopez, Edwin Valarezo Añazco, Tae-Seong Kim
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 4
Sensors, Vol 21, Iss 1404, p 1404 (2021)
Sensors
Volume 21
Issue 4
Sensors, Vol 21, Iss 1404, p 1404 (2021)
Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d533ef60b2c2d22a22d66abe2e845fd7
https://pubmed.ncbi.nlm.nih.gov/33671364
https://pubmed.ncbi.nlm.nih.gov/33671364
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 16
Sensors, Vol 21, Iss 5301, p 5301 (2021)
Sensors
Volume 21
Issue 16
Sensors, Vol 21, Iss 5301, p 5301 (2021)
Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c8e7e80cb15e4396b25329f5d8f6c3
https://doi.org/10.3390/s21165301
https://doi.org/10.3390/s21165301
Autor:
Patricio Rivera Lopez, Hye Min Park, Jiheon Oh, Sangmin Lee, Tae-Seong Kim, Edwin Valarezo Añazco, Nahyeon Park, Kyungmin Byun
Publikováno v:
Proceedings of the 2019 2nd International Conference on Robot Systems and Applications.
Anthropomorphic manipulators such as robotic hands (i.e., agent) can be used to perform complex object grasping tasks similar to human hands. However, teaching an agent to perform human-like grasping of objects is still a challenge in the robotics co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d050cab000204cf69cc8c1006b00586
https://doi.org/10.1145/3378891.3378900
https://doi.org/10.1145/3378891.3378900