An investigation on dimensionality reduction in the source-space-based hand trajectory decoding

Nitikorn Srisrisawang, Gernot Müller-Putz*

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

In this work, the hand trajectory decoding was investigated in the source space. A couple of di-mensionality reduction techniques were utilized to re-duce the number of the source-space signals, namely, computing the mean, principle component analysis (PCA), locality preserving projection (LPP).
The decoding performances from the source-space approaches were compared to the sensor-space ap-proach. We found that every approach showed perfor-mance metrics in a similar range and only slight differ-ences across approaches could be observed. The source-space approach with PCA with 8 components exhibited higher performance metrics than other ap-proaches and slightly higher performance metrics than the sensor-space approach (improvement for correla-tion 0.01 to 0.09, SNR 0.05 to 0.1 dB). The results sug-gested that the source-space-based decoding is pos-sible, and it can achieve comparable performance to the sensor-space approach.
Originalspracheenglisch
TitelProceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
UntertitelÖGBMT 2021
Herausgeber (Verlag)Verlag der Technischen Universität Graz
Seiten79-82
ISBN (elektronisch)978-3-85125-826-4
DOIs
PublikationsstatusVeröffentlicht - 2021
VeranstaltungÖGBMT Jahrestagung 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Österreich
Dauer: 30 Sep 20211 Okt 2021
https://oegbmt2021.tugraz.at/

Konferenz

KonferenzÖGBMT Jahrestagung 2021
KurztitelÖGBMT 2021
LandÖsterreich
OrtGraz
Zeitraum30/09/211/10/21
Internetadresse

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