Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors
| Autor: | John E. Ball, Tony Luczak, Daniel W. Carruth, Brian K. Smith, John Lamberth, Raj Prabhu, Adam C. Knight, Harish Chander, Reuben F. Burch |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mean squared error
Acoustics Shear force 02 engineering and technology soft robotic sensors lcsh:Chemical technology Biochemistry Article Analytical Chemistry 03 medical and health sciences symbols.namesake pressure 0302 clinical medicine Orientation (geometry) parasitic diseases Force platform lcsh:TP1-1185 Autoregressive integrated moving average Electrical and Electronic Engineering Ground reaction force Instrumentation Mathematics 030229 sport sciences 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Pearson product-moment correlation coefficient body regions wearables Compressibility symbols root mean square error ground reaction force 0210 nano-technology |
| Zdroj: | Sensors, Vol 20, Iss 1, p 208 (2019) Sensors (Basel, Switzerland) Sensors Volume 20 Issue 1 |
| ISSN: | 1424-8220 |
| Popis: | The purpose of this study was to evaluate the use of compressible soft robotic sensors (C-SRS) in determining plantar pressure to infer vertical and shear forces in wearable technology: A ground reaction pressure sock (GRPS). To assess pressure relationships between C-SRS, pressure cells on a BodiTrakTM Vector Plate, and KistlerTM Force Plates, thirteen volunteers performed three repetitions of three different movements: squats, shifting center-of-pressure right to left foot, and shifting toes to heels with C-SRS in both anterior&ndash posterior (A/P) and medial&ndash lateral (M/L) sensor orientations. Pearson correlation coefficient of C-SRS to BodiTrakTM Vector Plate resulted in an average R-value greater than 0.70 in 618/780 (79%) of sensor to cell comparisons. An average R-value greater than 0.90 was seen in C-SRS comparison to KistlerTM Force Plates during shifting right to left. An autoregressive integrated moving average (ARIMA) was conducted to identify and estimate future C-SRS data. No significant differences were seen in sensor orientation. Sensors in the A/P orientation reported a mean R2 value of 0.952 and 0.945 in the M/L sensor orientation, reducing the effectiveness to infer shear forces. Given the high R values, the use of C-SRSs to infer normal pressures appears to make the development of the GRPS feasible. |
| Databáze: | OpenAIRE |
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