Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve higher accuracy in fall detection system
Falling is a major health issue that can lead to both physical and mental injuries. Detecting falls accurately can reduce the severe effects and improve the quality of life for disabled people. Therefore, it is critical to develop a smart fall detection system. Many approaches have been proposed in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2022
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27835/2/02241150820241629351017.pdf http://eprints.utem.edu.my/id/eprint/27835/ https://thesai.org/Downloads/Volume13No11/Paper_34-Fuzzy_Support_Vector_Machine_based_Fall_Detection_Method.pdf |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |