Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

PhDs

Electronic engineering; Nimbus Centre for Embedded Research; independent living; elderly population; fall injuries; fall fatalities; isolation; commodity WIFi devices; channel state information; CSI; human presence detection; Irish Research Council; pdf;

Articles 1 - 1 of 1

Full-Text Articles in Engineering

Fall Detection Using Channel State Information From Wifi Devices, D.M Sameera Palipana Jan 2019

Fall Detection Using Channel State Information From Wifi Devices, D.M Sameera Palipana

PhDs

Falls among the independently living elderly population are a major public health worry, leading to injuries, loss of confidence to live independently and even to death. Each year, one in three people aged 65 and older falls and one in five of them suffers fatal or non fatal injuries. Therefore, detecting a fall early and alerting caregivers can potentially save lives and increase the standard of living. Existing solutions, e.g. push-button, wearables, cameras, radar, pressure and vibration sensors, have limited public adoption either due to the requirement for wearing the device at all times or installing specialized and expensive infrastructure. …