Hand Detection Algorithm: Pre-processing Stage

Raissa Likhonina

2020

Abstract

The present work describes a new approach to hand detection based on QRD Recursive Least Squares (RLS) Lattice algorithm and probabilistic approach to system identification. The described method is supposed to be used as a pre-processing stage for a hand gesture recognition application based on ultrasound technology. The approach includes a noise cancellation concept and uses linear Finite Impulse Response (FIR) based regression models in MATLAB environment. Within the algorithm the hypothesis testing technique is implemented. The work shows the results of computation using real data from an ultrasound device. The final version of the algorithm is supposed to be implemented on the embedded Xilinx Zynq device.

Paper Citation

in Harvard Style

Likhonina R. (2020). Hand Detection Algorithm: Pre-processing Stage.In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-442-8, pages 695-701. DOI: 10.5220/0009885206950701

in Bibtex Style

@conference{icinco20,
author={Raissa Likhonina},
title={Hand Detection Algorithm: Pre-processing Stage},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2020},
pages={695-701},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009885206950701},
isbn={978-989-758-442-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Hand Detection Algorithm: Pre-processing Stage
SN - 978-989-758-442-8
AU - Likhonina R.
PY - 2020
SP - 695
EP - 701
DO - 10.5220/0009885206950701