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.

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

DELLA MEA, Vincenzo;PARPINEL, Maria
2017-01-01

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1098990
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