Obstacle detection with MIMO 60 GHz radar for fall prevention

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

doi:10.1109/APMC46564.2019.9038383

Obstacle detection with MIMO 60 GHz radar for fall prevention

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

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC)
Editors	Xudong Chen, Richard Xian-Ke Gao, Yuanjin Zheng
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	366-368
Number of pages	3
ISBN (Electronic)	9781728135175, 9781728135168
ISBN (Print)	9781728135182
DOIs	https://doi.org/10.1109/APMC46564.2019.9038383
Publication status	Published - Dec 2019
Event	Asia-Pacific Microwave Conference 2019 - Singapore, Singapore Duration: 10 Dec 2019 → 13 Dec 2019 http://apmc2019.org/ https://ieeexplore.ieee.org/xpl/conhome/9027807/proceeding (Proceedings)

Conference

Conference	Asia-Pacific Microwave Conference 2019
Abbreviated title	APMC 2019
Country/Territory	Singapore
City	Singapore
Period	10/12/19 → 13/12/19
Internet address	http://apmc2019.org/ https://ieeexplore.ieee.org/xpl/conhome/9027807/proceeding (Proceedings)

Keywords

Fall prevention
Gait analysis
MIMO
Radar
Smart shoes
Wearables

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/APMC46564.2019.9038383

Cite this

Arganaras, J. G., Wong, Y. T., Pendharkar, G., Begg, R. K., & Karmakar, N. C. (2019). Obstacle detection with MIMO 60 GHz radar for fall prevention. In X. Chen, R. X.-K. Gao, & Y. Zheng (Eds.), Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC) (pp. 366-368). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APMC46564.2019.9038383

@inproceedings{7fcaaea79c6f41b88f99f14c5eece3fa,

title = "Obstacle detection with MIMO 60 GHz radar for fall prevention",

abstract = "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.",

keywords = "Fall prevention, Gait analysis, MIMO, Radar, Smart shoes, Wearables",

author = "Arganaras, \{Jose G.\} and Wong, \{Yan T.\} and Gita Pendharkar and Begg, \{Rezaul K.\} and Karmakar, \{Nemai C.\}",

year = "2019",

month = dec,

doi = "10.1109/APMC46564.2019.9038383",

language = "English",

isbn = "9781728135182",

pages = "366--368",

editor = "Xudong Chen and Gao, \{Richard Xian-Ke\} and Yuanjin Zheng",

booktitle = "Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "Asia-Pacific Microwave Conference 2019, APMC 2019 ; Conference date: 10-12-2019 Through 13-12-2019",

url = "http://apmc2019.org/, https://ieeexplore.ieee.org/xpl/conhome/9027807/proceeding",

}

Arganaras, JG, Wong, YT, Pendharkar, G, Begg, RK & Karmakar, NC 2019, Obstacle detection with MIMO 60 GHz radar for fall prevention. in X Chen, RX-K Gao & Y Zheng (eds), Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 366-368, Asia-Pacific Microwave Conference 2019, Singapore, Singapore, 10/12/19. https://doi.org/10.1109/APMC46564.2019.9038383

Obstacle detection with MIMO 60 GHz radar for fall prevention. / Arganaras, Jose G.; Wong, Yan T.; Pendharkar, Gita et al.
Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC). ed. / Xudong Chen; Richard Xian-Ke Gao; Yuanjin Zheng. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 366-368.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Obstacle detection with MIMO 60 GHz radar for fall prevention

AU - Arganaras, Jose G.

AU - Wong, Yan T.

AU - Pendharkar, Gita

AU - Begg, Rezaul K.

AU - Karmakar, Nemai C.

PY - 2019/12

Y1 - 2019/12

N2 - 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.

AB - 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.

KW - Fall prevention

KW - Gait analysis

KW - MIMO

KW - Radar

KW - Smart shoes

KW - Wearables

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DO - 10.1109/APMC46564.2019.9038383

M3 - Conference Paper

AN - SCOPUS:85082985970

SN - 9781728135182

SP - 366

EP - 368

BT - Proceedings of the 2019 IEEE Asia-Pacific Microwave Conference (APMC)

A2 - Chen, Xudong

A2 - Gao, Richard Xian-Ke

A2 - Zheng, Yuanjin

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - Asia-Pacific Microwave Conference 2019

Y2 - 10 December 2019 through 13 December 2019

ER -

Obstacle detection with MIMO 60 GHz radar for fall prevention

Abstract

Conference

Keywords

UN SDGs

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