Obstacle detection with MIMO 60 GHz radar for fall prevention

Argañarás, José Gabriel; Wong, Yan T.; Pendharkar, Gita; Begg, Rezaul; Karmakar, Nemai Chandra

doi:10.1109/apmc46564.2019.9038383

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Preliminary laboratory trials were conducted in an anechoic chamber by Argañarás et al in order to test the feasibility of non-conductive obstacle detection using mm-wave 60 to 64 GHz radar, presenting promising results [108,109].…”

Section: Wearable Radar For Fall Prevention: Proof Of Conceptmentioning

confidence: 99%

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

Argañarás

Wong

Begg

et al. 2021

Sensors

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Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.

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Section: Wearable Radar For Fall Prevention: Proof Of Conceptmentioning

confidence: 99%

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

Argañarás

Wong

Begg

et al. 2021

Sensors

View full text Add to dashboard Cite

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State-of-the-Art Review on Wearable Obstacle Detection Systems Developed for Assistive Technologies and Footwear

Joseph

kian

Begg

2023

Sensors

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Walking independently is essential to maintaining our quality of life but safe locomotion depends on perceiving hazards in the everyday environment. To address this problem, there is an increasing focus on developing assistive technologies that can alert the user to the risk destabilizing foot contact with either the ground or obstacles, leading to a fall. Shoe-mounted sensor systems designed to monitor foot-obstacle interaction are being employed to identify tripping risk and provide corrective feedback. Advances in smart wearable technologies, integrating motion sensors with machine learning algorithms, has led to developments in shoe-mounted obstacle detection. The focus of this review is gait-assisting wearable sensors and hazard detection for pedestrians. This literature represents a research front that is critically important in paving the way towards practical, low-cost, wearable devices that can make walking safer and reduce the increasing financial and human costs of fall injuries.

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Obstacle detection with MIMO 60 GHz radar for fall prevention

Cited by 2 publications

References 12 publications

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention

State-of-the-Art Review on Wearable Obstacle Detection Systems Developed for Assistive Technologies and Footwear

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