loading
Papers

Research.Publish.Connect.

Paper

Authors: Marcos Hervás ; Rosa Ma Alsina-Pagès and Joan Navarro

Affiliation: La Salle - Universitat Ramon Llull, Spain

ISBN: 978-989-758-211-0

Keyword(s): Ambient Assisted Living, Sensor Network, Machine Hearing, Audio Feature Extraction, Machine Learning, Graphics Processor Unit.

Related Ontology Subjects/Areas/Topics: Applications and Uses ; Home Monitoring and Assisted Living Applications ; Sensor Networks

Abstract: Human life expectancy has steadily grown over the last century, which has driven governments and institutions to increase the efforts on caring about the eldest segment of the population. The first answer to that increasing need was the building of hospitals and retirement homes, but these facilities have been rapidly overfilled and their associated maintenance costs are becoming far prohibitive. Therefore, modern trends attempt to take advantage of latest advances in technology and communications to remotely monitor those people with special needs at their own home, increasing their life quality and with much less impact on their social lives. Nonetheless, this approach still requires a considerable amount of qualified medical personnel to track every patient at any time. The purpose of this paper is to present an acoustic event detection platform for assisted living that tracks patients status by automatically identifying and analyzing the acoustic events happening in a house. Speci fically, we have taken benefit of the amazing capabilities of a Jetson TK1, with its NVIDIA Graphical Processing Unit, to collect the data in the house and process it to identify a closed number of events, which could led doctors or care assistants in real-time by tracking the patient at home. This is a proof of concept conducted with data of only one acoustic sensor, but in the future we have planned to extract information of the sensor network placed in several places in the house. (More)

PDF ImageFull Text

Download
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 35.172.195.49

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:
Hervás, M.; Alsina-Pagès, R. and Navarro, J. (2017). homeSound: A High Performance Platform for Massive Data Acquisition and Processing in Ambient Assisted Living Environments.In Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-211-0, pages 182-187. DOI: 10.5220/0006209701820187

@conference{sensornets17,
author={Marcos Hervás. and Rosa Ma Alsina{-}Pagès. and Joan Navarro.},
title={homeSound: A High Performance Platform for Massive Data Acquisition and Processing in Ambient Assisted Living Environments},
booktitle={Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2017},
pages={182-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006209701820187},
isbn={978-989-758-211-0},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - homeSound: A High Performance Platform for Massive Data Acquisition and Processing in Ambient Assisted Living Environments
SN - 978-989-758-211-0
AU - Hervás, M.
AU - Alsina-Pagès, R.
AU - Navarro, J.
PY - 2017
SP - 182
EP - 187
DO - 10.5220/0006209701820187

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.