A Novel Double Pressure Sensors-Based Monitoring and Alarming System for Fall Detection

Conference proceedings article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Youngkong P., Panpanyatep W.

Publisher: Hindawi

Publication year: 2021

ISBN: 9781730000000

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102497545&doi=10.1109%2fICA-SYMP50206.2021.9358439&partnerID=40&md5=512467f72705ca5fd130087c4f102bde

Languages: English-Great Britain (EN-GB)

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Abstract

Considering non-wearable devices or systems, two technologies, camera-based and sensor-based, are frequently investigated and implemented. Most people who concern very seriously about their privacy choose the sensor-based one. Previously, a pressure sensor-based system called 'NEF' was developed to monitor on-bed movements and send out alarming notifications to end-users when undesired events occurred. The system used only one pressure sensor that was placed on the bed or mattress. On-bed positions and patterns were classified with high accuracy. However, the fall event is actually very dynamic. Movements outside the bed shall be included. In this paper, a novel double pressure sensors-based system was proposed. Applying different machine learning techniques, random forest yielded the best fall detection model with 100% accuracy. Further experiments in multiple centers will be investigated. © 2021 IEEE.

Keywords

double pressure sensors, on-bed movements