Automatic Calibration of Piezoelectric Bed-Leaving Sensor Signals Using Genetic Network Programming Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{madokoro:2021:Algorithms,

• author = "Hirokazu Madokoro and Stephanie Nix and Kazuhito Sato",
• title = "Automatic Calibration of Piezoelectric {Bed-Leaving} Sensor Signals Using Genetic Network Programming Algorithms",
• journal = "Algorithms",
• year = "2021",
• volume = "14",
• number = "4",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1999-4893",
• URL = "https://www.mdpi.com/1999-4893/14/4/117",
• DOI = "doi:10.3390/a14040117",
• abstract = "This paper presents a filter generating method that modifies sensor signals using genetic network programming (GNP) for automatic calibration to absorb individual differences. For our earlier study, we developed a prototype that incorporates bed-leaving detection sensors using piezoelectric films and a machine-learning-based behaviour recognition method using counter-propagation networks (CPNs). Our method learns topology and relations between input features and teaching signals. Nevertheless, CPNs have been insufficient to address individual differences in parameters such as weight and height used for bed-learning behaviour recognition. For this study, we actualize automatic calibration of sensor signals for invariance relative to these body parameters. This paper presents two experimentally obtained results from our earlier study. They were obtained using low-accuracy sensor signals. For the preliminary experiment, we optimised the original sensor signals to approximate high-accuracy ideal sensor signals using generated filters. We used fitness to assess differences between the original signal patterns and ideal signal patterns. For application experiments, we used fitness calculated from the recognition accuracy obtained using CPNs. The experimentally obtained results reveal that our method improved the mean accuracies for three datasets.",
• notes = "also known as \cite{a14040117}",

}

Genetic Programming entries for Hirokazu Madokoro Stephanie Nix Kazuhito Sato

Citations