Ambulatory Estimation of Relative Foot Positions using Ultrasound · 2020. 4. 6. · Ambulatory...

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Ambulatory Estimation of Relative Foot Positions using Ultrasound Dirk Weenk Michiel van der Coelen Arno A. G. Geessink Frank J. van der Hoek Bart Verstoep Henk G. Kortier Fokke B. van Meulen Bert-Jan F. van Beijnum Peter H. Veltink Biomedical Signals and System, MIRA, University of Twente, Enschede, The Netherlands Introduction The instrumented shoes (Figure 1) can be used for ambu- latory assessment of walking kinetics and kinematics [1], which is important for the assessment of balance (Figure 2). Figure 1: Xsens ForceShoe (Xsens Technologies B.V. [2]), con- taining two 6D force/moment sensors and two inertial sensors. The relative position of the feet is currently not measured directly but estimated from double integration of feet accel- erations. However, this method immediately leads to large position errors (drift) when the estimated inertial accelera- tions are inaccurate. Figure 2: Qualitative parameters of balance; position and ve- locity of centre of mass related to the relative foot positions and borders of base of support. Goal The goal is the ambulatory estimation of the relative posi- tions of the feet using ultrasound transducers. Methods On one shoe we mounted a 400PT120 Air Ultrasonic Ce- ramic Transducer (13 mm diameter, 10 mm height, 85 beam angle) sending a 40 kHz pulse to a similar transducer on the other shoe. Using the time of flight, the distance is esti- mated. Oscillator Ultrasonic transducer Micro- controller with ADC PC + matlab Ultrasonic transducer distance Figure 3: Measurement setup. Results Under static conditions the average mean absolute error across the range is 5.7 ± 0.8 mm. Below 40 cm, this error drops to 1.3 mm (Figure 4). 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 0 10 20 30 40 50 60 70 80 Actual distance (cm) Measured distance (cm) 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 0 1 2 3 4 5 6 7 8 Absolute mean error (cm) Figure 4: Actual distance ( ) versus measured distance ( ), to- gether with the mean absolute error at each distance ( ). The entire system consumes approximately 0.36 W and weighs less than 130 g. The measurement frequency is about 5 Hz [3]. Conclusions and future work From this pilot study we concluded that the distance be- tween the feet can be estimated ambulatory using small and low-cost ultrasound transducers. Future research includes the improvement if the distance estimates in the 40-80 cm region. Also the relative positions of the feet will be investigated by fusing the distance esti- mates with inertial sensor data. Acknowledgment This study is financially supported by the PIDON Fusion project. References [1] H. M. Schepers, “Ambulatory assessment of human body kinematics and kinet- ics,” PhD thesis, University of Twente, 2009. [2] “Xsens Technologies B.V. website,” http://www.xsens.com, january 20, 2013. [3] A. A. G. Geessink, B. Verstoep, F. J. van der Hoek, and M. van der Coelen, “Happy feet,” Electrical Engineering B2 project, University of Twente, 2012. tinyurl.com/fusionbss

Transcript of Ambulatory Estimation of Relative Foot Positions using Ultrasound · 2020. 4. 6. · Ambulatory...

Page 1: Ambulatory Estimation of Relative Foot Positions using Ultrasound · 2020. 4. 6. · Ambulatory Estimation of Relative Foot Positions using Ultrasound Dirk Weenk Michiel van der Coelen

Ambulatory Estimation of RelativeFoot Positions using Ultrasound

Dirk Weenk Michiel van der Coelen Arno A. G. Geessink Frank J. van der Hoek Bart VerstoepHenk G. Kortier Fokke B. van Meulen Bert-Jan F. van Beijnum Peter H. Veltink

Biomedical Signals and System, MIRA, University of Twente, Enschede, The Netherlands

Introduction

The instrumented shoes (Figure 1) can be used for ambu-latory assessment of walking kinetics and kinematics [1],which is important for the assessment of balance (Figure 2).

Figure 1: Xsens ForceShoe (Xsens Technologies B.V. [2]), con-taining two 6D force/moment sensors and two inertial sensors.

The relative position of the feet is currently not measureddirectly but estimated from double integration of feet accel-erations. However, this method immediately leads to largeposition errors (drift) when the estimated inertial accelera-tions are inaccurate.

Figure 2: Qualitative parameters of balance; position and ve-locity of centre of mass related to the relative foot positionsand borders of base of support.

Goal

The goal is the ambulatory estimation of the relative posi-tions of the feet using ultrasound transducers.

Methods

On one shoe we mounted a 400PT120 Air Ultrasonic Ce-ramic Transducer (13 mm diameter, 10 mm height, 85◦ beamangle) sending a 40 kHz pulse to a similar transducer onthe other shoe. Using the time of flight, the distance is esti-mated.

OscillatorUltrasonictransducer

Micro-controllerwith ADC

PC + matlabUltrasonic

transducer

distance

Figure 3: Measurement setup.

Results

Under static conditions the average mean absolute erroracross the range is 5.7 ± 0.8 mm. Below 40 cm, this errordrops to 1.3 mm (Figure 4).

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 800

10

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30

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60

70

80

Actual distance (cm)

Mea

sure

ddi

stan

ce(c

m)

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80

0

1

2

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8

Abs

olut

em

ean

erro

r(c

m)

Figure 4: Actual distance ( ) versus measured distance ( ), to-gether with the mean absolute error at each distance ( ).

The entire system consumes approximately 0.36 W andweighs less than 130 g. The measurement frequency isabout 5 Hz [3].

Conclusions and future work

From this pilot study we concluded that the distance be-tween the feet can be estimated ambulatory using small andlow-cost ultrasound transducers.

Future research includes the improvement if the distanceestimates in the 40-80 cm region. Also the relative positionsof the feet will be investigated by fusing the distance esti-mates with inertial sensor data.

Acknowledgment

This study is financially supported by the PIDON Fusionproject.

References

[1] H. M. Schepers, “Ambulatory assessment of human body kinematics and kinet-ics,” PhD thesis, University of Twente, 2009.

[2] “Xsens Technologies B.V. website,” http://www.xsens.com, january 20, 2013.

[3] A. A. G. Geessink, B. Verstoep, F. J. van der Hoek, and M. van der Coelen, “Happyfeet,” Electrical Engineering B2 project, University of Twente, 2012.

tinyurl.com/fusionbss