Linguistic description of human activity based on mobile phone's accelerometers

Authors:
Daniel Sanchez-Valdes;Luka Eciolaza;Gracian Trivino
Affiliations:
European Centre for Soft Computing (ECSC), Mieres, Asturias, Spain;European Centre for Soft Computing (ECSC), Mieres, Asturias, Spain;European Centre for Soft Computing (ECSC), Mieres, Asturias, Spain
Venue:
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
Year:
2012

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Abstract

Monitoring the physical activity of a person is used for many applications such as medical assistance, personal security, etc. We use the accelerometers embedded in current mobile phones to identify the physical activities and generate periodical linguistic reports which describe relevant information about the activities carried out, their intensities and trends. Based on the Computational Theory of Perceptions, we have developed an application able to generate these linguistic descriptions, presenting a simple demonstration of our contribution in this field.