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Closing the Wearable Gap—Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors
- Source :
- Sensors, Vol 20, Iss 1, p 208 (2019), Sensors (Basel, Switzerland), Sensors, Volume 20, Issue 1
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- 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<br />posterior (A/P) and medial&ndash<br />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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....d401873705bdfb9a59738447b3033143