0505584 - ÚTIA 2020 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Likhonina, Raissa
QRD RLS Algorithm for Hand Gesture Recognition Applications.
Proceedings of IWSSIP 2019. Piscataway: IEEE, 2019 - (Žagar, D.; Rimac-Drlje, S.; Martinović, G.; Galić, I.; Vranješ, D.; Habijan, M.), s. 195-201. ISBN 978-1-7281-3253-2.
[International Conference on Systems, Signals and Image Processing 2019 (IWSSIP 2019). Osijek (HR), 05.06.2019-07.06.2019]
Grant CEP: GA MŠMT 8A18013
Institucionální podpora: RVO:67985556
Klíčová slova: QRD RLS algorithm * exponential forgetting * double precision arithmetic * regression model * hand detection * ultrasound
Obor OECD: Statistics and probability
Web výsledku:
http://library.utia.cas.cz/separaty/2019/ZS/likhonina-0505584.pdf

DOI: https://doi.org/10.1109/IWSSIP.2019.8787283

The work is focused on algorithmic technique for detection of hand presence and distance from a hand to a device transmitting ultrasound signals. The described method is based on QRD Recursive Least Squares (RLS) algorithm with double precision arithmetic and exponential forgetting (EF). Modelling of a hand detection problem is based on linear Finite Impulse Response (FIR) based regression models and performed using MATLAB tools. The modelled system comprises an environment model, a hand model and an identification block. A series of experiments testing both time-invariant and time-variant environment models and time-variant hand models show the importance of a correct choice of the EF factor. The experiments prove the accuracy of the algorithm and the possibility to calculate a distance from the hand to the device. The final version of the algorithm is supposed to be implemented on the embedded Xilinx Zynq device equipped with a microphone and ultrasound transducers.
Trvalý link: http://hdl.handle.net/11104/0297088