Rodrigo Hernangómez

Rodrigo Hernangómez
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut | HHI · Department of Wireless Communication and Networks

Master of Engineering

About

8
Publications
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26
Citations

Publications

Publications (8)
Preprint
Full-text available
Commercial radar sensing is gaining relevance and machine learning algorithms constitute one of the key components that are enabling the spread of this radio technology into areas like surveillance or healthcare. However, radar datasets are still scarce and generalization cannot be yet achieved for all radar systems, environment conditions or desig...
Article
Full-text available
Machine Learning (ML) methods have become state of the art in radar signal processing, particularly for classification tasks (e.g., of different human activities). Radar classification can be tedious to implement, though, due to the limited size and diversity of the source dataset, i.e., the data measured once for initial training of the Machine Le...
Article
Full-text available
Abstract Radar is an attractive sensor for classifying human activity because of its invariance to the environment and its ability to operate under low lighting conditions and through obstacles. Classification for human activity finds applications in human–computer interfaces, user‐intent understanding and contextual‐aware smart homes. Moreover, fr...
Article
Radar is an attractive sensor for human activity classification due to its invariance to the environment and its ability to operate in low lighting conditions and through obstacles. Human activity classification finds applications in human-computer interfaces, user-intent understanding and contextual-aware smart homes. Moreover, frequency-modulated...
Conference Paper
Full-text available
Radar is an attractive sensor for human activity classification due to its ability to work in low lighting conditions, its invariance to the environment and its ability to operate through obstacles. Human activity classification finds applications in human-computer interfaces, user-intent understanding and contextual-aware smart homes. Radar reflec...
Thesis
Full-text available
Otoacoustic Emissions (OAEs) are a technique for objective diagnosis of hearing impairment. Their application fields extend primarily to cases where the patient cannot actively cooperate in the clinical intervention, such as in hearing screening of neonates. Because of the high cost of professional quipment, smartphones arise as a newer, cheaper to...

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Projects

Project (1)
Project
Developing scalable and robust industrial and consumer applications of mm-wave radar using deep learning and signal processing techniques