Measurement and Evaluation of Finger Tapping Movements Using Log-linearized Gaussian Mixture Networks
This paper proposes a method to quantitatively measure and evaluate finger tapping movements for the assessment of motor function using log-linearized Gaussian mixture networks (LLGMNs). First, finger tapping movements are measured using magnetic sensors, and eleven indices are computed for evaluati...
Main Authors: | Masaru Yokoe, Akihiko Kandori, Keisuke Shima, Toshio Tsuji, Saburo Sakoda |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2009-03-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/9/3/2187/ |
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