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Recognising household activities with the smartphone: paper finally published.

A feasibility study on smartphone accelerometer-based recognition of household activities and influence of smartphone position.

Della Mea VQuattrin OParpinel M.

Abstract

BACKGROUND:

Obesity and physical inactivity are the most important risk factors for chronic diseases. The present study aimed at (i) developing and testing a method for classifying household activities based on a smartphone accelerometer; (ii) evaluating the influence of smartphone position; and (iii) evaluating the acceptability of wearing a smartphone for activity recognition.

METHODS:

An Android application was developed to record accelerometer data and calculate descriptive … Continue Reading