4. Extraction and selection of classification parameters
Accelerometer data can be used directly by the classification algorithm. For example, data from all three axes of the accelerometer are used directly in . However, in most cases, a set of parameters is calculated from the window data. This set of parameters forms a vector which is then used for classification. The aim here is to select the parameters that best discriminate between different activities.
It is possible to use a large number of parameters or parameter combinations, but it is preferable to use as few as possible, as using inappropriate or redundant variables increases the computational load and reduces the performance of classification...
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference
This article is included in
Mechanical and dimensional measurements
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Extraction and selection of classification parameters
Bibliography
Software tools
CISIA June 2000 The Bayesian (version for Windows Vista), [Software] CISIA 1 avenue Herbillon, 94160 Saint-Mandé, France
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference