( en | de | ru )

 

Disambiguation of "Gomez-Donoso, Francisco"

Author of the publication

copydeleteadd this publication to your clipboard
Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors.

, , , , , and . Pattern Recognit. Lett., (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Francisco Gallego Gómez

Emilio Donoso

Oliver Donoso Mantke

Jaime Moya Donoso

Ana Gómez-Carrillo Castro

 

Other publications of authors with the same name

A Voxelized Fractal Descriptor for 3D Object Recognition., , , and . IEEE Access, (2020)Monocular 3D Hand Pose Estimation for Teleoperating Low-Cost Actuators., , , , and . WAF, volume 1285 of Advances in Intelligent Systems and Computing, page 345-359. Springer, (2020)Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged., , , , , , , and . Comput. Intell. Neurosci., (2018)Inferring Static Hand Poses from a Low-Cost Non-Intrusive sEMG Sensor., , , and . Sensors, 19 (2): 371 (2019)Semantic Localization of a Robot in a Real Home., , , , and . WAF, volume 855 of Advances in Intelligent Systems and Computing, page 3-15. Springer, (2018)RoboToy Demoulding: Robotic Demoulding System for Toy Manufacturing Industry., , and . ICINCO (1), page 546-553. SCITEPRESS, (2023)Using a 3D CNN for Rejecting False Positives on Pedestrian Detection., , , , and . IJCNN, page 1-6. IEEE, (2020)Artificial Semantic Memory with Autonomous Learning Applied to Social Robots., , , , and . IWINAC (2), volume 11487 of Lecture Notes in Computer Science, page 401-411. Springer, (2019)COMBAHO: A deep learning system for integrating brain injury patients in society., , , , , , , , , and 8 other author(s). Pattern Recognit. Lett., (2020)Three-dimensional reconstruction using SFM for actual pedestrian classification., , , and . Expert Syst. Appl., 213 (Part): 119006 (2023)