| 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 |