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Closing the Wearable Gap-Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors
Tony Luczak1, Reuben F Burch V1, Brian K Smith1
1Department of Industrial & Systems Engineering, Mississippi State University, Mississippi State, MS 39762, USA.
Sensors (Basel, Switzerland)
|January 8, 2020
Summary
Compressible soft robotic sensors (C-SRS) show promise for wearable technology, accurately measuring plantar pressure to infer forces. This feasibility study supports the development of a ground reaction pressure sock (GRPS).
Area of Science:
- Robotics
- Biomechanics
- Wearable Technology
Background:
- Accurate measurement of plantar pressure is crucial for understanding foot biomechanics and developing effective wearable health monitoring systems.
- Existing pressure measurement technologies can be limited by bulkiness, cost, or specific application constraints.
Purpose of the Study:
- To evaluate the efficacy of compressible soft robotic sensors (C-SRS) for inferring vertical and shear forces from plantar pressure measurements.
- To assess the feasibility of integrating C-SRS into a ground reaction pressure sock (GRPS) for wearable applications.
Main Methods:
- Thirteen volunteers performed dynamic movements (squats, weight shifts) while wearing C-SRS integrated into a sock.
- Pressure data from C-SRS were correlated with reference measurements from a BodiTrak Vector Plate and Kistler Force Plates.
- Sensor orientation (anterior-posterior and medial-lateral) effects were analyzed, and ARIMA modeling was used for data estimation.
Main Results:
- C-SRS demonstrated strong correlations with reference systems, with average Pearson correlation coefficients (R) exceeding 0.70 in 79% of comparisons to the BodiTrak system.
- Exceptional R-values (>0.90) were observed when comparing C-SRS to Kistler Force Plates during specific weight-shifting tasks.
- While both sensor orientations showed high R² values (0.952 A/P, 0.945 M/L), this indicated reduced effectiveness in inferring shear forces.
Conclusions:
- Compressible soft robotic sensors show significant potential for accurate plantar pressure measurement in wearable systems.
- The high correlation values support the feasibility of developing a ground reaction pressure sock (GRPS) using C-SRS for inferring normal pressures.
- Further research may be needed to optimize sensor design or algorithms for reliable shear force inference.

