Analyzing the impact of class transitions on the design of pattern recognition-based myoelectric control schemes

2022 ◽  
Vol 71 ◽  
pp. 103134
Author(s):  
Shriram Tallam Puranam Raghu ◽  
Dawn MacIsaac ◽  
Erik Scheme
Keyword(s):  
Pattern Recognition ◽  
Myoelectric Control ◽  
Control Schemes ◽  
The Impact

scholarly journals Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition

2021 ◽  
Vol 11 (1) ◽  
pp. 9
Author(s):  
Fernando Leonel Aguirre ◽  
Nicolás M. Gomez ◽  
Sebastián Matías Pazos ◽  
Félix Palumbo ◽  
Jordi Suñé ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Ex Situ ◽  
Multilayer Perceptrons ◽  
Spice Simulation ◽  
Large Dataset ◽  
High Line ◽  
Calibration Algorithm ◽  
The Impact ◽  
Line Resistance

In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) intended for large dataset pattern recognition. By considering ex-situ training and the classification of the hand-written characters of the MNIST database, we evaluate the degradation of the inference accuracy due to the interconnection resistances for MLPs involving up to three hidden neural layers. Two approaches to reduce the impact of the line resistance are considered and implemented in our simulations, they are the inclusion of an iterative calibration algorithm and the partitioning of the synaptic layers into smaller blocks. The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize the impact of high line resistance values.

Photogrammetric Investigation of the Flying Shape of Spinnakers in a Twisted Flow Wind Tunnel

2009 ◽  
Author(s):  
Kai Graf ◽  
Olaf Müller
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
High Resolution ◽  
Wind Tunnel ◽  
Wind Velocity ◽  
Digital Cameras ◽  
Pattern Recognition Methods ◽  
Twisted Flow ◽  
High Resolution Images ◽  
The Impact

This paper describes a method for the acquisition of the flying shape of spinnakers in a twisted flow wind tunnel. The method is based on photogrammetry. A set of digital cameras is used to obtain high resolution images of the spinnaker from different viewing angles. The images are post-processed using image-processing tools, pattern recognition methods and finally the photogrammetry algorithm. Results are shown comparing design versus flying shape of the spinnaker and the impact of wind velocity and wind twist on the flying shape. Finally some common rules for optimum spinnaker trimming are investigated and examined.

scholarly journals Determination of Optimum Segmentation Schemes for Pattern Recognition-Based Myoelectric Control: A Multi-Dataset Investigation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 90862-90877 ◽  
Author(s):  
Hassan Ashraf ◽  
Asim Waris ◽  
Mohsin Jamil ◽  
Syed Omer Gilani ◽  
Imran Khan Niazi ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Myoelectric Control

Continuous multifunction myoelectric control using pattern recognition

2003 ◽  
Vol 15 (2) ◽  
pp. 95-103 ◽  
Author(s):  
Kevin Englehart ◽  
Bernard Hudgins ◽  
Adrian D.C. Chan
Keyword(s):  
Pattern Recognition ◽  
Myoelectric Control
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