Using Fuzzy Logic to Enhance Classification of Human Motion Primitives

2014 ◽  
pp. 596-605 ◽  
Author(s):  
Barbara Bruno ◽  
Fulvio Mastrogiovanni ◽  
Alessandro Saffiotti ◽  
Antonio Sgorbissa
Keyword(s):  
Fuzzy Logic ◽  
Human Motion ◽  
Motion Primitives

Classification of Brain Signal Activities Before and After Consuming Soy Peptide Using Fuzzy Logic

2021 ◽  
Author(s):  
Arjon Turnip ◽  
Gilbert F. Y. Sihombing ◽  
Giraldo F. J. Sihombing ◽  
George Michael Tampubolon ◽  
Peri Turnip ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Before And After

scholarly journals Improved fuzzy logic method to distinguish between meteorological and non-meteorological echoes using C-band polarimetric radar data

2020 ◽  
Vol 13 (2) ◽  
pp. 537-551
Author(s):  
Shuai Zhang ◽  
Xingyou Huang ◽  
Jinzhong Min ◽  
Zhigang Chu ◽  
Xiaoran Zhuang ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Radar Data ◽  
Weak Signal ◽  
Post Processing ◽  
Algorithm Performance ◽  
Radar Echoes ◽  
Fuzzy Logic Method ◽  
Anomalous Propagation ◽  
Logic Method

Abstract. To obtain better performance of meteorological applications, it is necessary to distinguish radar echoes from meteorological and non-meteorological targets. After a comprehensive analysis of the computational efficiency and radar system characteristics, we propose a fuzzy logic method that is similar to the MetSignal algorithm; the performance of this method is improved significantly in weak-signal regions where polarimetric variables are severely affected by noise. In addition, post-processing is adjusted to prevent anomalous propagation at a far range from being misclassified as meteorological echo. Moreover, an additional fuzzy logic echo classifier is incorporated into post-processing to suppress misclassification in the melting layer. An independent test set is selected to evaluate algorithm performance, and the statistical results show an improvement in the algorithm performance, especially with respect to the classification of meteorological echoes in weak-signal regions.

Segmentation of Human Motion Sequence Based on Motion Primitives

2019 ◽  
pp. 658-664
Author(s):  
Yu-ting Zhao ◽  
Yao Wang ◽  
Shuang Wu ◽  
Xiao-jun Li ◽  
Hua Qin ◽  
...  
Keyword(s):  
Human Motion ◽  
Motion Primitives ◽  
Motion Sequence

Identification of mafic-ultramafic rocks using fuzzy logic classification of airborne geophysical data in the Anapu-Tuer" region, Brazilian Amazon

2008 ◽  
Author(s):  
Cleyton de C. Carneiro ◽  
Alvaro P. Crósta ◽  
Adalene M. Silva ◽  
Carlos Eduardo de M. Barros
Keyword(s):  
Fuzzy Logic ◽  
Brazilian Amazon ◽  
Geophysical Data ◽  
Ultramafic Rocks ◽  
Airborne Geophysical Data
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