VISION-BASED FALL DETECTION MONITORING SYSTEM

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dc.contributor.author Wajid, Hafsa Reg # 54101
dc.contributor.author Ibrahim, Muhammad Reg # 46293
dc.contributor.author Saeed, Faiza Reg # 54056
dc.date.accessioned 2023-12-13T05:28:45Z
dc.date.available 2023-12-13T05:28:45Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/123456789/16789
dc.description Supervised by Hadiqua Fazal en_US
dc.description.abstract For elderly people, falls are the cause ot serious injuries and even death. To increase the standard of living monitoring systems are now being implemented/installed with the functionality offall detection. Fall injuries are sensitive, ifwe report falling the probability is higher that the patient will recover. With the help of these fall detection monitoring systems, we can decrease the manual labour & assistance the patient requires. In healthcare systems, the demand for such systems has increased with the time that is reliable and accurate at detecting. The current fall detection methods that are used are sensor-based & vision-based. This report is a brief explanation of vision-based systems and algorithms practised for fall detection applications. The vision-based detection systems are less obtrusive since the data that is being collected for detection is gathered with the help of cameras as compared to sensor-based that requires the patient to plant sensor en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.relation.ispartofseries BSCS;MFN 370
dc.title VISION-BASED FALL DETECTION MONITORING SYSTEM en_US
dc.type Project Reports en_US


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