RT info:eu-repo/semantics/article
T1 Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System
A1 Diez Pastor, José Francisco
A1 Latorre Carmona, Pedro
A1 Garrido Labrador, José Luis
A1 Ramírez Sanz, José Miguel
A1 Rodríguez Diez, Juan José
K1 Radar signal
K1 Feature extraction
K1 Classification
K1 Stacking
K1 Tangible user interfaces
K1 Informática
K1 Computer science
AB Radar technology has evolved considerably in the last few decades. There are many areaswhere radar systems are applied, including air traffic control in airports, ocean surveillance, andresearch systems, to cite a few. Other types of sensors have recently appeared, which allow trackingsub-millimeter motion with high speed and accuracy rates. These millimeter-wave radars are givingrise to myriad new applications, from the recognition of the material close objects are made, to therecognition of hand gestures. They have also been recently used to identify how a person interactswith digital devices through the physical environment (Tangible User Interfaces, TUIs). In this case,the radar is used to detect the orientation, movement, or distance from the objects to the user’s handsor the digital device. This paper presents a thoughtful comparative analysis of different featureextraction techniques and classification strategies applied on a series of datasets that cover problemssuch as the identification of materials, element counting, or determining the orientation and distanceof objects to the sensor. The results outperform previous works using these datasets, especially whenthe accuracy was lowest, showing the benefits feature extraction techniques have on classificationperformance.
PB MDPI
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/7352
UL http://hdl.handle.net/10259/7352
LA eng
NO This work was supported by the Spanish Ministry of Science and Innovation under project PID2020-119894GB-I00, Junta de Castilla y León under project BU055P20 (JCyL/FEDER, UE) co-financed through European Union FEDER funds. José Luis Garrido-Labrador was supported by the predoctoral grant (BDNS 510149) awarded by the Universidad de Burgos, Spain.
DS Repositorio Institucional de la Universidad de Burgos
RD 28-abr-2024