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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03250-5
Abstract: Fall detection is drawing serious attention all across the globe, as unattended fall of senior citizens creates long lasting injuries. This necessitates the deployment of automatic fall detection systems to facilitate smart care health environments…
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Keywords:
video sequences;
human fall;
fall;
fall detection ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936320
Abstract: Falls are an important healthcare problem for vulnerable persons like seniors. Response to potential emergencies can be fastened timely detection and classification of falls. This paper addresses the detection of human falls using relevant pixel-based…
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Keywords:
approach;
human fall;
fall;
fall detection ... See more keywords
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Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3155768
Abstract: This article designs a visual surveillance framework for human fall detection. In order to solve the conventional issues in fall detection, such as unsatisfactory feature generalization, low recall rates, and large computational time, we design…
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Keywords:
fall;
fall detection;
human fall;
visual surveillance ... See more keywords
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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12123060
Abstract: Human falls, especially for elderly people, can cause serious injuries that might lead to permanent disability. Approximately 20–30% of the aged people in the United States who experienced fall accidents suffer from head trauma, injuries,…
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Keywords:
fall;
fusion;
human fall;
detection ... See more keywords
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Published in 2021 at "Entropy"
DOI: 10.3390/e23030328
Abstract: Human fall identification can play a significant role in generating sensor based alarm systems, assisting physical therapists not only to reduce after fall effects but also to save human lives. Usually, elderly people suffer from…
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Keywords:
human fall;
classification indoor;
fall events;
indoor human ... See more keywords