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REVIEW 5 major objections 4 minor 49 references

Fabrication of Soft and Comfortable Pressure-Sensing Shoe Sole for Intuitive Monitoring of Human Quality Gaits

T0 review · 5 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

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Pith's one-line read A five-sensor Ecoflex/graphene shoe sole maps foot pressure in real time, with each sensor's resistance dropping from open circuit to 200 Ω as pressure rises to 750 kPa.

desk verdict The prototype is real and the system integration is complete, but the sensor calibration is internally inconsistent; the central performance claims don't survive contact with the paper's own tables. read the letter →

arxiv 2501.14193 v1 pith:GETXVDFN submitted 2025-01-24 eess.SY cs.SY

Muhammad Adeel , Hasnain Ali , Afaque Manzoor Soomro , Muhammad Waqas This is my paper · ORCID
classification eess.SYcs.SY
keywords flexiblepressuresensorEcoflex/graphenecompositepiezoresistivegaitmonitoringsmartshoesolereal-timewirelessESP32footmapping
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper sets out to show that a flexible pressure sensor made by sandwiching a cured Ecoflex/graphene film between copper electrodes can work inside an ordinary shoe sole and give a live readout of where the foot presses during walking. It reports negative piezoresistive behaviour: resistance falls from an open circuit with no load to roughly 150 kΩ under light pressure and about 200 Ω at the maximum tested pressure of 750 kPa. Five such sensors are placed at the forefoot, at three positions across the midfoot, and at the heel, and their readings are sent by an ESP32 microcontroller to a MATLAB graphical interface that colour-codes pressure in real time. The paper argues that this makes the sole a comfortable, non-invasive way to watch gait quality, track foot disorders, and follow rehabilitation progress outside a laboratory.

What carries the argument

The load-bearing object is the Ecoflex/graphene composite film: a soft silicone matrix with dispersed graphene nanopowder whose electrical resistance falls when compressed because pressure brings more conductive graphene pathways into contact. The supporting mechanism is a voltage divider — a fixed 150 kΩ resistor in series with each sensor — that turns the changing resistance into a voltage readable by the ESP32's analog input. The five-sensor layout (one forefoot, three midfoot, one heel) is what turns a single sensor into a spatial map of gait.

What would settle it

Place each of the five sensors from a fabricated sole under identical known pressures of, say, 0, 200, 400, and 750 kPa. If their resistances do not fall within the stated ±10% threshold and 6% hysteresis band of the single reported curve (open circuit to 150 kΩ to 200 Ω), the color-coded GUI will not show true pressure at every sensing site.

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Extended reading notes

Core claim

On the paper's own terms, the central discovery is that a molded 15 mm × 15 mm, 1.25 mm-thick film of Ecoflex 00-30 loaded with 5 mg of graphene nanopowder, sandwiched between copper electrodes, acts as a negative piezoresistive pressure sensor. With no pressure the two electrodes are electrically open; light pressure brings the resistance to 150 kΩ, and the maximum applied pressure (750 kPa, applied evenly over the active area) brings it to 200 Ω. The paper reports a sensitivity of 0.02 Pa/ohm, a response time of 120 ms, a recovery time of 100 ms, a hysteresis of 6%, a ±10% threshold, and stable behaviour over 50 loading cycles. Embedded as five sensors in a shoe sole and read through a voltage divider with 150 kΩ fixed resistors, the resistance changes are converted into analog voltages that an ESP32 wirelessly transmits to a MATLAB GUI, where colour changes from green through red to blue display the pressure distribution across the foot. This is presented as sufficient for intuitive gait monitoring and rehabilitation support for people with foot disorders or neuromotor diseases.

Load-bearing premise

The paper assumes that the resistance-versus-pressure calibration measured on one sensor, with a single fixed 150 kΩ voltage-divider resistor and one sensitivity value, applies to all five sensors in the shoe sole and to every foot location.

Editorial extensions

If this is right

  • If the sensor behaviour is as reported, a shoe sole can show real-time pressure distribution at forefoot, midfoot, and heel, making invisible gait asymmetries visible during ordinary walking.
  • A wireless link to a laptop or smartphone means gait could be monitored continuously outside a clinic, supporting rehabilitation tracking for foot disorders and neuromotor diseases.
  • The reported 120 ms response and 100 ms recovery times are fast enough to follow individual steps, so stance and swing phases could be distinguished from the sensor traces.
  • Because the sensing layer is made of soft Ecoflex, it should conform to the foot and remain comfortable enough for prolonged wear, unlike rigid commercial insoles.
  • The claimed similarity to a commercial force-sensing resistor suggests the device could serve as a flexible substitute in applications that currently use FSRs.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the calibration holds across sensors, the same five readings could estimate weight distribution and balance during standing, a rehabilitation metric the paper mentions but does not demonstrate.
  • The reported response and recovery times suggest that step-cycle phase detection could be extracted from the traces, since individual footfalls would appear as resistance dips of roughly 120 ms.
  • A natural extension would be pairing the sole with pattern recognition on the five pressure time series to classify normal versus disordered gait; the paper lists machine learning only as future work.
  • Because the sensor response is monotone over the 0 to 750 kPa range, the same material system could be transferred to other wearable pressure sites, such as hand grips or seating surfaces.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

5 major / 4 minor

Summary. The paper reports the design and fabrication of a flexible piezoresistive pressure sensor made of an Ecoflex/graphene composite, the integration of five such sensors into a shoe sole, and a readout chain based on an ESP32 microcontroller and a MATLAB GUI for real-time gait monitoring. The authors claim a negative piezoresistive response with an open circuit at zero pressure, 150 kΩ at 200 kPa, 200 Ω at 750 kPa, a sensitivity of 0.02 Pa/Ω, 6% hysteresis, and ±10% threshold, and they compare the sensor with a commercial FSR. The supporting measurements in Tables 4.3 and 4.4, however, do not reproduce the claimed calibration and are mutually inconsistent, so the central performance claim is not supported by the data presented.

Significance. If the characterization were reliable, the contribution would be a straightforward, low-cost plantar-pressure mapping system with a plausible application to gait rehabilitation. The paper demonstrates a complete system path from material preparation and molding to wireless capture and visualization, and it does not claim circular validation of fitted parameters. Its significance is limited, however, by the absence of repeatable, single-valued pressure-resistance data: the contradictory tables and the incompatible sensitivity value mean that the quantitative performance claims, including the GUI pressure mapping, rest on an unestablished calibration.

major comments (5)
  1. [Section 4, Table 4.1] The central calibration is internally inconsistent with the measured data. Table 4.1 states a resistance range of 150 kΩ at 200 kPa and 200 Ω at 750 kPa, with open circuit at zero pressure. Table 4.4 reports 3,342,900 Ω at 428.6 kPa and 463,323 Ω at 723.4 kPa; the latter is more than three orders of magnitude above the claimed 200 Ω at 750 kPa, and the former is more than an order of magnitude above the claimed 150 kΩ at 200 kPa. Table 4.3 also reports 3,342,900 Ω at 428.6 kPa. The printed calibration curve is therefore not an accurate summary of the experimental records.
  2. [Section 4, Tables 4.3 and 4.4] The measured response is not single-valued or monotonic. In Table 4.3, a pressure increase from 428.6 kPa to 434.4 kPa at t=5 drops the resistance from 3,342,900 Ω to 29,162 Ω, while later at t=10 a higher pressure of 480.6 kPa returns to 3,342,900 Ω; in Table 4.4, 428.6 kPa gives 3,342,900 Ω but 469.1 kPa gives 1,924,700 Ω and 723.4 kPa gives 463,323 Ω. These points cannot lie on one calibration curve, and adjacent entries differ by two orders of magnitude without a corresponding pressure jump. Since no repeated trials or statistics are reported, the relationship between pressure and resistance is not characterized at the level required by the paper's claims.
  3. [Section 4, Table 4.1, sensitivity] The sensitivity value is arithmetically inconsistent with the stated endpoints. The endpoints 150 kΩ at 200 kPa and 200 Ω at 750 kPa correspond to a slope of (150,000 − 200)/(750,000 − 200,000) = 0.272 Ω/Pa, equivalently 3.67 Pa/Ω, not 0.02 Pa/Ω. If 0.02 Pa/Ω is intended as a figure of merit, its definition and measurement procedure are not given; if it is meant as the inverse slope, the numbers are off by nearly two orders of magnitude. This invalidates the quantitative sensitivity claim.
  4. [Section 3, Eq. (3.1), and 'Resistors'] The fixed 150 kΩ reference resistor is mismatched to the measured resistance range, which calls the GUI color mapping into question. With R1 = 150 kΩ and R2 = 3.34 MΩ from Tables 4.3 and 4.4, Vout = Vin·R2/(R1+R2) ≈ 0.957 Vin, so resistance changes in the megohm range produce only a small voltage swing near the supply rail; at the claimed 200 Ω end, Vout ≈ 0.0013 Vin. The paper does not explain how the analog-to-digital conversion and color-coded pressure display remain resolvable across the whole stated 0–750 kPa range.
  5. [Section 4, 'Testing Pressure Sensor'] The reported characterization is based on a single sensor and single pass; no per-sensor calibration, repeated loading cycles, or error statistics are provided, despite the shoe sole containing five sensors. The claims of 6% hysteresis, ±10% threshold, and response to 50 cycles are given as numbers in Table 4.1 without any hysteresis loop, threshold experiment, or cycle-by-cycle data. For a system intended to map pressure from resistance in real time, the absence of repeatability data is a load-bearing gap.
minor comments (4)
  1. [Section 4, Fig. 4.7 and Table 4.5] The comparison with the commercial FSR is not controlled: no consistent pressure stimulus, simultaneous loading protocol, or repeated trials is described, so the conclusion that the two sensors exhibit 'similar characteristics' is not supported.
  2. [Section 3, 'Homogenization of Ecoflex/Graphene Composites'] The material name is written inconsistently as 'Ecoflex-0030' and 'Ecoflex 00-30'; choose one notation and use it throughout.
  3. [Section 4, first paragraph] The sentence 'The sensor has active area of 15 x 15 mm2 and thickness of 1.25 mm2' gives an incorrect unit for thickness; it should be 1.25 mm.
  4. [References] Several references are duplicated or inconsistently numbered; for example, references [14], [16], and [25] are the same publication ('Real-time pressure mapping smart insole system...'). Please deduplicate and renumber the reference list.

Circularity Check

0 steps flagged · score 0.0 of 10

No circular derivation: the sensor characterization is presented as direct measurement, and the stated sensitivity is a descriptive ratio rather than a fitted parameter used to predict held-out data.

full rationale

The paper reports a fabricated Ecoflex/graphene piezoresistive sensor and its measured resistance-pressure behavior. Its central performance claim (Table 4.1: open circuit at 0 kPa, 150 kΩ at 200 kPa, 200 Ω at 750 kPa, sensitivity 0.02 Pa/ohm) is a characterization of the fabricated device, not a prediction derived from a fitted model. The sensitivity value is described as 'calculated' from the measurements, but no subsequent conclusion is obtained by feeding that number back into the same measurements; it is used only as a descriptive figure of merit. The voltage-divider circuit (Eq. 3.1) is an application of a standard formula and does not itself encode the sensor calibration. The comparison with the commercial FSR (Table 4.5) is an external benchmark, albeit one that is not synchronized or controlled; a weak benchmark affects validity, not circularity. No load-bearing step is justified by a self-citation; references to prior work support materials choices and general context, but the sensor's response is reported from the authors' own measurements. The internal inconsistency between the stated 0.02 Pa/ohm sensitivity and the tabulated resistance-pressure pairs is a correctness/data-quality problem, not a circularity problem, because the paper does not derive one claimed quantity from another by construction. Accordingly, no circular step can be exhibited, and the score is 0.

Assumptions & free parameters 2 free parameters · 4 assumptions · 0 invented entities

The paper's central performance claims rest on an unverified material model (graphene percolation in Ecoflex) and an unverified transfer of a single-sensor calibration to a five-sensor array. The only quantitative model used is the standard voltage divider, which is not in question.

free parameters (2)
  • Sensitivity value = 0.02 Pa/ohm
    Reported as calculated sensitivity in Table 4.1, but it is inconsistent with the response data in Tables 4.3 and 4.4, which imply roughly 0.1 to 5 Pa/ohm depending on the point pair used.
  • Reference resistor R1 = 150 kΩ
    Chosen for the voltage divider circuit in Section 3.4.1; the value determines the mapping between sensor resistance and ADC voltage, and no justification for this specific value is given.
assumptions (4)
  • standard math Voltage divider formula Vout = Vin * R2/(R1+R2)
    Used in Section 3.4.1 to relate sensor resistance to output voltage; standard circuit theory.
  • standard math P = F/A with F = m*g, g = 9.81 m/s^2
    Used in Table 4.2 to convert weights to pressure over the 15x15 mm area; standard physics.
  • domain assumption Ecoflex/graphene composite forms a percolating conductive network whose resistance decreases monotonically and reversibly with pressure
    This is the central transduction premise, but the paper provides no microscopy or percolation data, and the reported resistance range is contradicted by its own tables.
  • domain assumption The five sensors in the sole experience pressures within the calibrated 0-750 kPa range during normal gait, so the single-sensor calibration applies to all
    Section 3.3 places sensors at forefoot, midfoot, and heel without pressure distribution measurements to justify the calibration range.

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Pith. "Pith review of Fabrication of Soft and Comfortable Pressure-Sensing Shoe Sole for Intuitive Monitoring of Human Quality Gaits." pith.science (2026). https://pith.science/paper/GETXVDFN

@misc{pith2026250114193,
  author       = {Pith},
  title        = {Pith review of: Fabrication of Soft and Comfortable Pressure-Sensing Shoe Sole for Intuitive Monitoring of Human Quality Gaits},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/GETXVDFN}},
  note         = {Machine review of arXiv:2501.14193}
}
read the original abstract

The study discusses the design and fabrication of flexible pressure sensors using Ecoflex/Graphene composites. The fabricated sensor is used for the application of intuitive monitoring of human quality gaits and implementation of the soft and comfortable shoe sole for rehabilitation of the patients with foot disorder is also taken into consideration. The sensor is fabricated using molding and casting technique by sandwiching the thin film Ecoflex/Graphene composites between the copper (Cu) electrodes with the dimension of 15 x 15 mm2 with high sensitivity. There are five pressure sensors integrated in the shoe sole, a sensor at the forefoot, three sensors at the midfoot and one sensor at the lower foot (heel). The behavior of the sensor is negative piezoresistive in which the resistance decreases as the pressure increases. The sensors are embedded in a soft and comfortable shoe sole and then integrated with a laptop or mobile application to monitor and analyze human gait in real-time. Furthermore, a dedicated Graphical User Interface (GUI) is designed to read the data. The pressure sensors are integrated with ESP32 microcontroller which wirelessly transmit data to the GUI and smart phones which could be further used in the intuitive monitoring, rehabilitation of the patients with foot disorder or neuromotor diseases.

Figures

Figures reproduced from arXiv: 2501.14193 by the authors.

Figure 2
Figure 2. [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 2
Figure 2. [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 2
Figure 2. [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figures from the paper (20 more)
Figure 2
Figure 2. Figure 2 [PITH_FULL_IMAGE:figures/full_fig_p006_2.png]
Figure 2
Figure 2. Figure 2 [PITH_FULL_IMAGE:figures/full_fig_p009_2.png]
Figure 3
Figure 3. Figure 3: 1. Fabrication and Implementation of Pressure Sensor for monitoring of human quality gaits Design of Mold Using SolidWorks SolidWorks holds significant importance in the Design of molds for pressure sensors, particularly in our context of creating a sensor with specifi…
Figure 3
Figure 3. Figure 3: 2. Dimensions of the mold 3. Iterative Design: SolidWorks facilitates iterative design processes, allowing to make modifications to the mold design as needed quickly. This agility is particularly valuable for refining the mold's geometry to achieve the desired sensor p…
Figure 3
Figure 3. Figure 3: 3. Thickness of the mold 7. Compatibility: SolidWorks 2021's compatibility with various manufacturing processes and file formats ensures a seamless transition from the digital mold design to its physical production. By utilizing SolidWorks to design a mold for our pres…
Figure 3
Figure 3. Figure 3: 5. Homogenization of Ecoflex/Graphene It's worth noting that the successful homogenization of Ecoflex/Graphene composites requires attention to detail and precision to ensure the desired enhancement of material properties while maintaining the integrity of the final co…
Figure 3
Figure 3. Figure 3: 6. Thin film of Ecoflex/Graphene [PITH_FULL_IMAGE:figures/full_fig_p017_3.png]
Figure 3
Figure 3. Figure 3: 9. Pressure Sensor's Layers Once the material has solidified within the mold, the resulting sensor structure is carefully removed and refined as needed. The sensor's electrical connections, which will facilitate pressure measurements, are established using copper (Cu) …
Figure 3
Figure 3. Figure 3: 10. Integrating Pressure Sensors in a shoe sole The data collected from these integrated sensors offer valuable information about foot mechanics, pressure distribution, and potential abnormalities in gait patterns. By analyzing pressure patterns across different foot r…
Figure 3
Figure 3. Figure 3: 12. Voltage Divider In the context of our project, the voltage 𝑽𝒊𝒏 represents the input voltage to the circuit, which is typically supplied by a power source. The variable resistance 𝑹𝟐 corresponds to the resistance of [PITH_FULL_IMAGE:figures/full_fig_p020_3.png]
Figure 3
Figure 3. Figure 3: 13. a) ESP32 b) 3.7v battery c) a resistor Printed Circuit Board A Printed Circuit Board (PCB) is a mechanical device that connects electrical and electronic components using conductive tracks embedded between layers of non-conductive substrate. Typically, components a…
Figure 3
Figure 3. Figure 3: 15. Data Acquisition of the project Arduino Arduino is an open-source electronics platform that provides a user-friendly environment for creating and prototyping various electronic projects. It includes both hardware and software components, making it accessible for in…
Figure 4
Figure 4. Figure 4: 1. Pressure Sensor's Layers The sensor has active area of 15 x 15 mm2 and thickness of 1.25 mm2 . After cyclic period of 50 times, it is deduced that the sensor has infinite resistance when no pressure is applied,150 KΩ after applying light pressure to 200 Ω when maxim…
Figure 4
Figure 4. Figure 4: 3. Measuring the resistance of the pressure sensor [PITH_FULL_IMAGE:figures/full_fig_p027_4.png]
Figure 4
Figure 4. Figure 4: 4. Time vs Pressure Graph We can observe the behavior using time graphs in [PITH_FULL_IMAGE:figures/full_fig_p028_4.png]
Figure 4
Figure 4. Figure 4: 5. Time vs Resistance Graph [PITH_FULL_IMAGE:figures/full_fig_p029_4.png]
Figure 4
Figure 4. Figure 4: 6. Pressure Response Curve [PITH_FULL_IMAGE:figures/full_fig_p030_4.png]
Figure 4
Figure 4. Figure 4: 7. Comparing Pressure with Commercial FSR [PITH_FULL_IMAGE:figures/full_fig_p031_4.png]
Figure 4
Figure 4. Figure 4: 8. GUI before applying pressure The GUI is designed to be easy to use and allows users to visualize and interpret the pressure data collected from the sensors in the shoe soles. It uses the Arduino microcontroller to capture detailed pressure distribution patterns acro…
Figure 4
Figure 4. Figure 4: 9. GUI after applying pressure The GUI reflects the physical layout of the pressure sensors embedded in the shoe sole, showing their positions in real time. When pressure is applied to each sensor, the GUI responds intuitively by changing color intensities - from green…

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Reference graph

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Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.