Obstacle detection with MIMO 60 GHz radar for fall prevention

Jose G. Arganaras, Yan T. Wong, Gita Pendharkar, Rezaul K. Begg, Nemai C. Karmakar

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


With medical and technological advancements allowing increasingly longer lives, achieving ongoing quality of life in the older population is becoming increasingly important. This population, aged 65 or older, has a greatly increased probability of experiencing a fall, which can have seriously detrimental impacts on quality of life and impose substantial health-care costs. Fall prevention is, therefore, fundamental to successful ageing and gait analysis provides a powerful tool for tackling this component of public health. This paper presents findings showing the potential of a novel mm-wave wearable sensor system for realworld gait monitoring. Results of experiments showing the detection of non-conductive obstacles are presented and it is concluded that this technology is feasible for further developments in falls-prevention focussed wearable devices.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC)
EditorsXudong Chen, Richard Xian-Ke Gao, Yuanjin Zheng
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages3
ISBN (Electronic)9781728135175, 9781728135168
ISBN (Print)9781728135182
Publication statusPublished - Dec 2019
EventAsia-Pacific Microwave Conference 2019 - Singapore, Singapore
Duration: 10 Dec 201913 Dec 2019
https://ieeexplore.ieee.org/xpl/conhome/9027807/proceeding (Proceedings)


ConferenceAsia-Pacific Microwave Conference 2019
Abbreviated titleAPMC 2019
Internet address


  • Fall prevention
  • Gait analysis
  • MIMO
  • Radar
  • Smart shoes
  • Wearables

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