No interface, no problem : gesture recognition on physical objects using radar sensing

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Title:	No interface, no problem : gesture recognition on physical objects using radar sensing
Authors:	ID Attygalle, Nuwan (Author) ID Leiva, Luis A. (Author) ID Kljun, Matjaž (Author) ID Sandor, Christian (Author) ID Plopski, Alexander (Author) ID Kato, Hirokazu (Author) ID Čopič Pucihar, Klen (Author)
Files:	https://www.mdpi.com/1424-8220/21/17/5771
Language:	English
Work type:	Unknown
Typology:	1.01 - Original Scientific Article
Organization:	IAM - Andrej Marušič Institute
Keywords:	radar sensing, gesture recognition, deep learning
Year of publishing:	2021
Number of pages:	str. 1-20
Numbering:	Vol. 21, iss. 17
PID:	20.500.12556/RUP-16979
UDC:	621.396.96
ISSN on article:	1424-8220
DOI:	10.3390/s21175771
COBISS.SI-ID:	74784003
Publication date in RUP:	18.10.2021
Views:	1951
Downloads:	24
Metadata:
:	ATTYGALLE, Nuwan, LEIVA, Luis A., KLJUN, Matjaž, SANDOR, Christian, PLOPSKI, Alexander, KATO, Hirokazu and ČOPIČ PUCIHAR, Klen, 2021, No interface, no problem : gesture recognition on physical objects using radar sensing. Sensors [online]. 2021. Vol. 21, no. 17, p. 1–20. [Accessed 23 April 2025]. DOI 10.3390/s21175771. Retrieved from: https://www.mdpi.com/1424-8220/21/17/5771 Copy citation

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Language:	English
Keywords:	detekcija z radarjem, detekcija kretenj, globoko učenje

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