BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Melbourne BEGIN:DAYLIGHT DTSTART:20211003T030000 TZOFFSETFROM:+1000 TZOFFSETTO:+1100 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20210404T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210415T122239Z UID:AE3C4426-685A-4873-9EA8-3A67CD84B8E2 DTSTART;TZID=Australia/Melbourne:20210415T160000 DTEND;TZID=Australia/Melbourne:20210415T170000 DESCRIPTION:As the average age of the world’s population increases\, the need for biomedical aids to enable successful ageing is becoming increasin gly important. Adults aged 65 or older are more likely to experience a fal l compared to younger individuals\, often leading to serious injuries and sometimes death. Therefore\, fall prevention plays a key role in achieving good quality of life for older adults. Gait analysis is a powerful tool f or diagnosing and tracking a patient's health and can be used for fall pre vention. Advances in wearable sensors have enabled gait analysis for fall prevention to be taken outside the laboratory and their use is becoming ev er more popular. A review of the literature reveals a clear gap in the que st to improve wearable sensors that can be addressed by the development of wearable radar. The reduced size and power consumption of radar sensors\, particularly in the mm-wave domain\, would represent a significant advanc e in the development of wearable sensors.\n\nThis research is focused on a dvancing radar technology through the design\, simulation\, and fabricatio n of novel antenna arrays for 60 GHz and system-level integration with min iaturized radar chipsets. The project aims to achieve high range and cross -range resolutions for the detection of small obstacles and level-changes in walking surfaces for fall prevention.\n\nSpeaker(s): Jose Gabriel Argan aras\, \n\nMelbourne\, Victoria\, Australia\, Virtual: https://events.vtoo ls.ieee.org/m/267525 LOCATION:Melbourne\, Victoria\, Australia\, Virtual: https://events.vtools. ieee.org/m/267525 ORGANIZER:fatemeh.babaeian@ieee.org SEQUENCE:6 SUMMARY:Radar-based Smart-Shoes for Fall Prevention URL;VALUE=URI:https://events.vtools.ieee.org/m/267525 X-ALT-DESC:Description: <br /><p>As the average age of the world&rsquo\;s p opulation increases\, the need for biomedical aids to enable successful ag eing is becoming increasingly important. Adults aged 65 or older are more likely to experience a fall compared to younger individuals\, often leadin g to serious injuries and sometimes death. Therefore\, fall prevention pla ys a key role in achieving good quality of life for older adults. Gait ana lysis is a powerful tool for diagnosing and tracking a patient's health an d can be used for fall prevention. Advances in wearable sensors have enabl ed gait analysis for fall prevention to be taken outside the laboratory an d their use is becoming ever more popular. A review of the literature reve als a clear gap in the quest to improve wearable sensors that can be addre ssed by the development of wearable radar. The reduced size and power cons umption of radar sensors\, particularly in the mm-wave domain\, would repr esent a significant advance in the development of wearable sensors.</p>\n< p>This research is focused on advancing radar technology through the desig n\, simulation\, and fabrication of novel antenna arrays for 60 GHz and sy stem-level integration with miniaturized radar chipsets. The project aims to achieve high range and cross-range resolutions for the detection of sma ll obstacles and level-changes in walking surfaces for fall prevention.</p > END:VEVENT END:VCALENDAR