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Online Physical Activity Monitoring From Head Kinematics

Authors:
Pierre Barralon
Inigo Dorronsoro

Keywords: Active Ageing; Head Kinematics; Walking Detection; Hearing Instrument; mHealth

Abstract:
With older age, people experience increasing hearing loss. With the use of assistive technology systems it is possible to preserve and improve the quality of life of elderly people with hearing losses. The Augmented Hearing Experience and Assistance for Daily life (AHEAD) system, composed of hearing glasses (augmented with Bluetooth audio communication, and physiological sensors) wirelessly connected to a mobile phone also connected to a smart home environment platform, allows to provide services on top of the hearing enhancement provided by the hearing glasses. Beside the health related services that the AHEAD system offers (heart rate monitoring, emergency alarms), a physical activity assistant has been identified to be relevant in order to reduce sedentary behaviours. In this paper, we investigated how accurate fitness algorithms (walking time, step counter, physically active/inactive periods) based on head kinematic data would be. For that purpose we have adapted state-of-the art algorithms. A total of 10 healthy users performed activities of daily living and walking sessions. The results show that the head location is suitable to detect fitness indicators but some personalization of some parameters would be needed to improve the performance of the detection methods.

Pages: 13 to 18

Copyright: Copyright (c) IARIA, 2017

Publication date: June 25, 2017

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-61208-565-4

Location: Venice, Italy

Dates: from June 25, 2017 to June 29, 2017