Application of Pattern Recognition Techniques to non Invasive Insulation Monitoring

2008 ◽  
Author(s):  
J.M.B. Bezerra ◽  
R.R.B. Aquino ◽  
J.B. Oliveira ◽  
T.M.A. Silveira ◽  
E.G. Costa ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Techniques ◽  
Non Invasive ◽  
Insulation Monitoring

ICA as Pattern Recognition Technique for Gesture Identification

2013 ◽  
pp. 530-549
Author(s):  
Ganesh Naik ◽  
Dinesh Kant Kumar ◽  
Sridhar Arjunan
Keyword(s):  
Pattern Recognition ◽  
Marked Improvement ◽  
Mitigation Strategy ◽  
The Other ◽  
Computer Assisted ◽  
Pattern Recognition Techniques ◽  
Non Invasive ◽  
Robust System ◽  
Network Weight ◽  
Recognition Technique

In recent times there is an urgent need for a simple yet robust system to identify natural hand actions and gestures for controlling prostheses and other computer assisted devices. Surface Electromyogram (sEMG) is a non-invasive measure of the muscle activities but is not reliable because there are multiple simultaneously active muscles. This research first establishes the conditions for the applicability of Independent Component Analysis (ICA) pattern recognition techniques for sEMG. Shortcomings related to order and magnitude ambiguity have been identified and a mitigation strategy has been developed by using a set of unmixing matrix and neural network weight matrix corresponding to the specific user. The experimental results demonstrate a marked improvement in the accuracy. The other advantages of this system are that it is suitable for real time operations and it is easy to train by a lay user.

ICA as Pattern Recognition Technique for Gesture Identification

2012 ◽  
pp. 367-387
Author(s):  
Ganesh Naik ◽  
Dinesh Kant Kumar ◽  
Sridhar Arjunan
Keyword(s):  
Pattern Recognition ◽  
Marked Improvement ◽  
Mitigation Strategy ◽  
The Other ◽  
Computer Assisted ◽  
Pattern Recognition Techniques ◽  
Non Invasive ◽  
Robust System ◽  
Network Weight ◽  
Recognition Technique

In recent times there is an urgent need for a simple yet robust system to identify natural hand actions and gestures for controlling prostheses and other computer assisted devices. Surface Electromyogram (sEMG) is a non-invasive measure of the muscle activities but is not reliable because there are multiple simultaneously active muscles. This research first establishes the conditions for the applicability of Independent Component Analysis (ICA) pattern recognition techniques for sEMG. Shortcomings related to order and magnitude ambiguity have been identified and a mitigation strategy has been developed by using a set of unmixing matrix and neural network weight matrix corresponding to the specific user. The experimental results demonstrate a marked improvement in the accuracy. The other advantages of this system are that it is suitable for real time operations and it is easy to train by a lay user.

EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques A Review

2019 ◽  
Vol 7 (1) ◽  
pp. 615-618
Author(s):  
Y. M. Rajput ◽  
S. Abdul Hannan ◽  
M. Eid Alzahrani ◽  
Ramesh R. Manza ◽  
Dnyaneshwari D. Patil
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Emotion Recognition ◽  
Pattern Recognition Techniques

Gravity Models in International Trade: An Exploration in Econo-Physics

2021 ◽  
pp. 227797872198992
Author(s):  
Iman Pal ◽  
Saibal Kar
Keyword(s):  
Pattern Recognition ◽  
International Trade ◽  
Present Article ◽  
Gravity Models ◽  
Scientific Applications ◽  
Physical Sciences ◽  
Trade Patterns ◽  
Pattern Recognition Techniques ◽  
The Subject ◽  
Jel Classifications

Several strands of the static and dynamic theoretical constructs and the empirical applications in the subject of economics owe substantially to the well-known principles of physical sciences. The present article explores as to how the development of the popular gravity models in international trade can be traced back to Newton’s law of gravitation, and to both Ohm’s Law and Kirchhoff’s Law of current electricity, as well as to the pattern recognition techniques commonly deployed in scientific applications. In addition to surveying these theoretical analogies, the article also offers numerical applications for observed trade patterns between India and a set of countries. JEL Classifications: F41, F42, C61, F47

Sign in / Sign up

Export Citation Format

Share Document