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
