Cane with Millimeter Wave Radar for Base of Support Measurement

Fernandez, Ibai Gorordo; Wada, Chikamune

doi:10.1109/lifetech.2019.8884010

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…The data used in this research was obtained in our previous study (Fernandez & Wada, 2019). In that study, 3 young male subjects (age 24.67 ± 2.08) with no previous balance or gait impairments participated in the experiment.…”

Section: Previous Studymentioning

confidence: 99%

“…However, due to the high number of sensors, each shoe had two 3D force/moment sensors, two inertial sensors and an ultrasonic sensor; the shoes were heavy (1 kg) and could be dangerous for the elderly due the extra sole height. For this reason, in our previous study (Fernandez & Wada, 2019), we developed a system to estimate the area of the BoS by using a millimeter wave radar attached to a cane. By attaching the sensor to normal cane, the system could be used without the need to wear any special shoes or clothes.…”

Section: Introductionmentioning

confidence: 99%

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Linear Regression Technique for Improvement of Feet Position Estimation during Standing Balance Using a Cane with Millimeter Wave Radar

Fernandez

Kitagawa

Rahman

et al. 2020

JST

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It is estimated that one in three seniors fall at least once a year. Falls are a global problem for the elderly that affects their quality of life and poses a great risk. In our research, we are trying to develop a system that could prevent falls by estimating the fall risk in real time. The system would measure the balance of the user by measuring the position of the Center of Gravity inside the Base of Support. In our previous research, we presented a system with a millimeter wave radar attached to a cane to measure the area of the Base of Support. However, the obtained results for the foot position estimation error were significantly worse than similar studies. One of the reasons was that the sensor was not really estimating the position of the feet but the position of the lower legs. Therefore, in this research we present a correction model to improve the feet position estimation. The proposed model was able to reduce the foot position estimation RMSE from 54 mm down to 34 mm, which is closer to the results of other similar studies measuring the position of the feet.

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Section: Previous Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%