loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Georgios Siantikos ; Theodoros Giannakopoulos and Stasinos Konstantopoulos

Affiliation: NCSR Demokritos, Greece

Keyword(s): Audio Analysis, Activities of Daily Living, Health Monitoring, Remote Monitoring, Audio Sensors, RaspberryPI, Audio Event Recognition.

Related Ontology Subjects/Areas/Topics: Ambient Intelligence ; Applications ; Artificial Intelligence ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Pattern Recognition ; Pervasive Technologies ; Physiological Computing Systems ; Signal Processing ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we present an architecture for recognizing events related to activities of daily living in the context of a health monitoring environment. The proposed approach explores the integration of a Raspberry PI singleboard PC both as an audio acquisition and analysis unit. A set of real-time feature extraction and classification procedures has been implemented and integrated on the Raspberry PI device, in order to provide continuous and online audio event recognition. In addition, a tuning and calibration workflow is presented, according to which the technicians installing the device in a fast ans user-friendly manner, without any requirements for machine learning expertise. The proposed approach has been evaluated against a particular scenario that is rather important in the context of any healthcare monitoring system for the elder, namely the ”bathroom scenario” according to which a single microphone installed on a Raspberry PI device is used to monitor bathroom activity in a 24/7 basis. Experimental results indicate a satisfactory performance rate on the classification process (around 70% for five bathroom-related audio classes) even when less than two minutes of annotated data are used for training in the installation procedure. This makes the whole procedure non demanding in terms of time and effort needed to be calibrated by the technician. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.223.31.148

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Siantikos, G.; Giannakopoulos, T. and Konstantopoulos, S. (2016). A Low-cost Approach for Detecting Activities of Daily Living using Audio Information: A Use Case on Bathroom Activity Monitoring. In Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE; ISBN 978-989-758-180-9; ISSN 2184-4984, SciTePress, pages 26-32. DOI: 10.5220/0005803700260032

@conference{ict4awe16,
author={Georgios Siantikos. and Theodoros Giannakopoulos. and Stasinos Konstantopoulos.},
title={A Low-cost Approach for Detecting Activities of Daily Living using Audio Information: A Use Case on Bathroom Activity Monitoring},
booktitle={Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE},
year={2016},
pages={26-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005803700260032},
isbn={978-989-758-180-9},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE
TI - A Low-cost Approach for Detecting Activities of Daily Living using Audio Information: A Use Case on Bathroom Activity Monitoring
SN - 978-989-758-180-9
IS - 2184-4984
AU - Siantikos, G.
AU - Giannakopoulos, T.
AU - Konstantopoulos, S.
PY - 2016
SP - 26
EP - 32
DO - 10.5220/0005803700260032
PB - SciTePress