A lightweight neural-net with assistive mobile robot for human fall detection system
Falls are a major health issue, particularly among the elderly. Increasing fall events require high service quality and dedicated medical treatment which is an economic burden. In the lack of appropriate care and support, serious injuries caused by fall will cost lives. Therefore, tracking systems w...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
IEEE
2020
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Online Access: | http://eprints.um.edu.my/36999/ https://ieeexplore.ieee.org/document/9206637 |
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