A Real-Time Fall Detection System for Wheelchair Users with Automated Email AlertsA Real-Time Fall Detection System for Wheelchair Users with Automated Email Alerts

The goal of Wheelchair Fall Detection System was to enhance safety of wheelchair users. Up to 40 per cent of wheelchair users fall every year and most injuries which result from the falls will be serious and sometimes fatal. To meet this urgent need, we built this IoT System using the latest technology and user centric design to get timely intervention. According to our research, existing trustworthy non-intrusive fall detection systems that are geared towards wheelchair users are in short supply. Gyroscopes and accelerometers were used mainly for motion sensors, because of their accuracy in tracking orientation and movement. The Wheelchair Fall Detection System, through the use of machine learning algorithms, detects wheelchair falls at high accuracy, quickly alerts guardians b

Publication Details

Journal
Figshare
Published
2025-10-14
DOI
https://doi.org/10.6084/m9.figshare.30355540
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

A Real-Time Fall Detection System for Wheelchair Users with Automated Email AlertsA Real-Time Fall Detection System for Wheelchair Users with Automated Email Alerts

Figshare
Archaeological Research and Protection
article

A Real-Time Fall Detection System for Wheelchair Users with Automated Email AlertsA Real-Time Fall Detection System for Wheelchair Users with Automated Email Alerts

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Abstract

The goal of Wheelchair Fall Detection System was to enhance safety of wheelchair users. Up to 40 per cent of wheelchair users fall every year and most injuries which result from the falls will be serious and sometimes fatal. To meet this urgent need, we built this IoT System using the latest technology and user centric design to get timely intervention. According to our research, existing trustworthy non-intrusive fall detection systems that are geared towards wheelchair users are in short supply. Gyroscopes and accelerometers were used mainly for motion sensors, because of their accuracy in tracking orientation and movement. The Wheelchair Fall Detection System, through the use of machine learning algorithms, detects wheelchair falls at high accuracy, quickly alerts guardians b

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Archaeological Research and Protection
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