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Smart chair posture classification using sensors mounted under chairs’ legs
https://doi.org/10.1142/9789811223334_0129Cited by:0 (Source: Crossref)
Abstract:
In this paper we present a sitting posture classification system which uses simple sensors mounted under the legs of a chair. Various classification methods have been used, out of which an Artificial Neural Network yielded the best results.We show that this nonintrusive system with a simple design is able to achieve a accuracy of 94% for 8 subjects and 8 classes, when the classification was done with familiar users, and 72% when the classification was done with unfamilar users.
