Abstract
There is a growth in adoption of multi-channel (tactile, voice, gesture, brain-computer interface, etc.) control systems for mobile robots that help to improve its reliability. But, a complex control system requires a large number of tests to determine the quality of operation. Hence, multi-channel control systems are subjects of rigorous testing process for estimation of the number of successful command recognitions and the number of errors. The more tests will be conducted, the more accurate evaluation of the control channel quality will be. However, in most cases, carrying out the tests is expensive and time-consuming. Therefore, it is necessary to determine the minimum number of tests required to evaluate channel control quality with a given significance level. In this paper we propose a technique for determining the minimum required number of tests. Experimental results of evaluating the multichannel control system of the mobile robotic wheelchair using this technique are presented.
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References
Chow, S.C., Shao, J., Wang, H., Lokhnygina, Y.: Sample Size Calculations in Clinical Research. Chapman and Hall/CRC, Boca Raton (2017)
de Bekker-Grob, E.W., Donkers, B., Jonker, M.F., Stolk, E.A.: Sample size requirements for discrete-choice experiments in healthcare: a practical guide. Patient-Patient-Centered Outcomes Res. 8(5), 373–384 (2015). https://doi.org/10.1007/s40271-015-0118-z
Sadyhov, G.S., Savchenko, V.P.: K probleme ocenki srednej narabotki do kriticheskogo otkaza tekhnogenno-opasnogo ob"ekta (in Russian). Nadezhnost’ i kachestvo slozhnyh sistem (1), 54–57 (2013)
Kock, N., Hadaya, P.: Minimum sample size estimation in PLS-SEM: the inverse square root and gamma-exponential methods. Inf. Syst. J. 28(1), 227–261 (2018). https://doi.org/10.1111/isj.12131
Rodriguez-Lujan, I., Fonollosa, J., Vergara, A., Homer, M., Huerta, R.: On the calibration of sensor arrays for pattern recognition using the minimal number of experiments. Chemometr. Intell. Lab. Syst. 130, 123–134 (2014). https://doi.org/10.1016/j.chemolab.2013.10.012
Black, M.A., Doerge, R.: Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments. Bioinformatics 18(12), 1609–1616 (2002). https://doi.org/10.1093/bioinformatics/18.12.1609
Kibzun, A.I., Goryainova, E., Naumov, A., Kibzun, A., et al.: Teoriya veroyatnostej i matematicheskaya statistika. Bazovyj kurs s primerami i zadachami (in Russian). Fizmatlit, Moscow (2002)
Voznenko, T.I., Chepin, E.V., Urvanov, G.A.: The control system based on extended bci for a robotic wheelchair. Procedia Comput. Sci. 123, 522–527 (2018). https://doi.org/10.1016/j.procs.2018.01.079
Gridnev, A.A., Voznenko, T.I., Chepin, E.V.: The decision-making system for a multi-channel robotic device control. Procedia Comput. Sci. 123, 149–154 (2018). https://doi.org/10.1016/j.procs.2018.01.024
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Kudryavtsev, K.Y., Cherepanov, A.V., Voznenko, T.I., Dyumin, A.A., Gridnev, A.A., Chepin, E.V. (2019). The Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-319-99316-4_27
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DOI: https://doi.org/10.1007/978-3-319-99316-4_27
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