Classification techniques for smartphone based activity detection

2012 ◽  
Author(s):  
John J. Guiry ◽  
Pepijn van de Ven ◽  
John Nelson
Keyword(s):  
Activity Detection ◽  
Classification Techniques

Advancement of Criminal Profiling Classification Techniques Using a Multi-Method Scaling Framework

2012 ◽  
Author(s):  
Alasdair Matthew Goodwill ◽  
Skye Stephens ◽  
Sandra Oziel ◽  
Nicola Bowes
Keyword(s):  
Criminal Profiling ◽  
Classification Techniques

Signal Activity Detection of Offset-QPSK in Colored Gaussian Noise

2011 ◽  
Vol E94-A (11) ◽  
pp. 2226-2229
Author(s):  
Sayed Jalal ZAHABI ◽  
Mohammadali KHOSRAVIFARD ◽  
Ali A. TADAION ◽  
T. Aaron GULLIVER
Keyword(s):  
Gaussian Noise ◽  
Activity Detection ◽  
Signal Activity ◽  
Colored Gaussian Noise

Novel method for low level Sr-90 activity detection in seawater by combining oxalate precipitation and chelating resin extraction

2017 ◽  
Vol 51 (2) ◽  
pp. 193-197 ◽  
Author(s):  
Hirofumi Tazoe ◽  
Hajime Obata ◽  
Masatoshi Tomita ◽  
Shinya Namura ◽  
Jun Nishioka ◽  
...  
Keyword(s):  
Chelating Resin ◽  
Activity Detection ◽  
Low Level ◽  
Oxalate Precipitation ◽  
Novel Method

HYBRID CLASSIFICATION SCHEMES FOR HEART MURMUR DETECTION TO ASSIST PHONOCARDIOGRAM BASED SIGNAL ACQUISITION

2017 ◽  
Vol 13 (9) ◽  
pp. 6480-6488 ◽  
Author(s):  
A.D. Jeyarani ◽  
Reena Daphne ◽  
Solomon Roach
Keyword(s):  
Neural Network ◽  
Signal Acquisition ◽  
Heart Murmur ◽  
Classification Techniques ◽  
Classification Schemes ◽  
Neural Network Classification ◽  
Nonlinear Classification ◽  
Processing Step ◽  
System Characterization ◽  
Hybrid Classification

The main contribution of this paper has been to introduce nonlinear classification techniques to extract more information from the PCG signal. Especially, Artificial Neural Network classification techniques have been used to reconstruct the underlying system’s state space based on the measured PCG signal. This processing step provides a geometrical interpretation of the dynamics of the signal, whose structure can be utilized for both system characterization and classification as well as for signal processing tasks such as detection and prediction.

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