Extraction and selection of classification parameters
Activity Recognition from Accelerometer Data
Quizzed article REF: R1815 V1
Extraction and selection of classification parameters
Activity Recognition from Accelerometer Data

Authors : Romain AUBER, Mathieu POULIQUEN, Éric PIGEON

Publication date: June 10, 2021, Review date: June 24, 2021 | Lire en français

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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,...

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