Radar-based Smart-Shoes for Fall Prevention
As the average age of the world’s population increases, the need for biomedical aids to enable successful ageing is becoming increasingly important. Adults aged 65 or older are more likely to experience a fall 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 for diagnosing and tracking a patient's health and can be used for fall prevention. Advances in wearable sensors have enabled gait analysis for fall prevention to be taken outside the laboratory and their use is becoming ever more popular. A review of the literature reveals a clear gap in the quest 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 advance in the development of wearable sensors.
This research is focused on advancing radar technology through the design, simulation, and fabrication of novel antenna arrays for 60 GHz and system-level integration with miniaturized 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.
Date and Time
Location
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Registration
- Date: 15 Apr 2021
- Time: 06:00 AM UTC to 07:00 AM UTC
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- Melbourne, Victoria
- Australia
- Starts 27 March 2021 01:00 AM UTC
- Ends 14 April 2021 02:00 AM UTC
- No Admission Charge
Speakers
Jose Gabriel Arganaras
Biography:
José G. Argañarás (IEEE M’18) was born in Tucumán, Argentina, in March 1987. He has a degree in Electronic Engineering from the Universidad Nacional de Tucumán, Argentina, which he received in 2011. From 2010 to 2014 he was an RF & Electronic Design Engineer, and from 2014 to 2018 a Senior Subsystem Engineer, with the Aerospace and Government Division of INVAP SE, Argentina. He is currently undertaking a PhD by research at Monash University, Melbourne, Australia. His research interests include radar, RF design, gait analysis, and wearable devices.