Low Profile and Low Cost Textile Smart Mat for Step Pressure Sensing and Position Mapping

Li, Erfeng; Lin, Xichen; Seet, Boon‐Chong; Joseph, Frances; Neville, Jono

doi:10.1109/i2mtc.2019.8826892

Cited by 13 publications

(8 citation statements)

References 11 publications

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“…3. Nuramdhani et al also used an Arduino Uno as a not-integrated part to investigate a textile energy storage device [34], while Li et al applied an Arduino ATmega2560 for data collection and visualization of a step pressure sensing and position mapping system, based on textile pressure sensor mats [35]. Frequency-based measurements in smart textiles were also applied by an Arduino Uno placed next to the textile fabric under investigation [36].…”

Section: Recent Sbcs and Sbmsmentioning

confidence: 99%

Suitability of common single circuit boards for sensing and actuating in smart textiles

Ehrmann¹,

Ehrmann

2020

cdatp

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Single-board computers and microcontrollers such as Raspberry Pi or Arduino are nowadays used in a broad range of applications. Their relatively low power consumption and low price, compact dimensions and relative ease to program them make them suitable for diverse areas of measuring and controlling various parameters. In the textile area, however, such single-board computers are still less often used than in other projects, in spite of their aforementioned advantages in comparison to other solutions. Here we give an overview of the differences between single-board computers and single-board microcontrollers in general, compare different versions and give examples which projects are reported in the scientific literature, in design or in the maker scene, enabling researchers, designers and makers to decide which future projects necessitate which single circuit boards.

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Section: Recent Sbcs and Sbmsmentioning

confidence: 99%

Suitability of common single circuit boards for sensing and actuating in smart textiles

Ehrmann¹,

Ehrmann

2020

cdatp

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“…Even though the Velostat PSM had acquired better results than those of the commercial system in the weight scale, it could still not replace the foot silhouette. Other applications of Velostat-based PSM include monitoring neonatal constants [17], sport-training monitoring [18], and fall detection and elderly care [19].…”

Section: Introductionmentioning

confidence: 99%

A Velostat-Based Pressure-Sensitive Mat for Center-of-Pressure Measurements: A Preliminary Study

Martínez-Cesteros

Medrano-Sánchez

Plaza-Garcia

et al. 2021

IJERPH

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Center-of-pressure (CoP) displacements play a key role in studies assessing postural stability. The accepted instrument to measure CoP trajectories is the force platform, but pressure-sensitive mats (PSMs) are an alternative composed of a matrix of sensitive cells. A typical cell comprises two electrodes with piezoresistive material in between, while a force platform has a force sensor at each of its corners. In this paper, we compare a homemade Velostat-based PSM and an affordable commercial mat with a commercial force platform in a test series with 42 healthy volunteers in single-legged trials (29 males, 13 females; height 1.74 (0.09) m, weight 74.3 (16.34) kg, age 31.21 (12.66) years). The aim of the research was to perform a preliminary study of the performance of our prototype to measure CoP, and more specifically, the standard deviation of the CoP path on both axes, the medial–lateral and anterior–posterior. We could thus discover several improvements for future clinical applications. The intraclass correlation coefficient (ICC) for agreement in the base experiment showed a moderate value for the prototype (0.38 to 0.63) and lower values for the commercial mat (0.11 to 0.12). However, we identified several factors that were relevant to improve ICC and reduce error by considering several processing options: (i) the known crosstalk problem between cells that appears in this kind of mats must be eliminated; (ii) the response time of the sensor has to be taken into account; and (iii) increasing the mat resolution also improves agreement. Therefore, as future work, we plan to test the improved version of the prototype in a clinical environment.

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“…In the papers mentioned above, authors use commercially available pressure sensors in their prototypes or accelerometer to get information about the lying person. On the other hand, the works presented in [7][8][9] propose the solution for pressure distribution measurement based on their own sensors. For instance, Saenz-Cogollo et al [7] present a pressure mapping mat for tele-home care applications.…”

Section: Introductionmentioning

confidence: 99%

“…They demonstrated the functionality and performance by comparing the proposed mat with the commercial pressure platform. Li et al [8] present a low-cost textile smart map for step pressure sensing based on multiple layer structure with polyester textile, conductive copper taffeta, and Velostat. The matrix of sensors consists of 8 × 10 sensing points.…”

Section: Introductionmentioning

confidence: 99%

“…HTTP request-response block sends the data for evaluation in JSON format as a parameter in the HTTP request to the Jetson module. Data looks like: payload: { timestamp: 1605683032, subjectID: "subjet12", notes: "", data: [ [7,8,12,12,20,123,0,0], [8,10,27,21,28,26,0,0], [2,9,6,8,12,8,0, 0], [6,11,11,16,22,13,3,0], [19,32,39,95,103,66,8,0], [13,16,16,28,51,24,1,0], [18,20,24,47,82,40,6, 0], [0, 0, 4, 10, 12, 6, 0, 0], ...…”

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confidence: 99%

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A Smart IoT System for Detecting the Position of a Lying Person Using a Novel Textile Pressure Sensor

Hudec

Matúška

Kamencay

et al. 2020

Sensors

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Bedsores are one of the severe problems which could affect a long-term lying subject in the hospitals or the hospice. To prevent lying bedsores, we present a smart Internet of Things (IoT) system for detecting the position of a lying person using novel textile pressure sensors. To build such a system, it is necessary to use different technologies and techniques. We used sixty-four of our novel textile pressure sensors based on electrically conductive yarn and the Velostat to collect the information about the pressure distribution of the lying person. Using Message Queuing Telemetry Transport (MQTT) protocol and Arduino-based hardware, we send measured data to the server. On the server side, there is a Node-RED application responsible for data collection, evaluation, and provisioning. We are using a neural network to classify the subject lying posture on the separate device because of the computation complexity. We created the challenging dataset from the observation of twenty-one people in four lying positions. We achieved a best classification precision of 92% for fourth class (right side posture type). On the other hand, the best recall (91%) for first class (supine posture type) was obtained. The best F1 score (84%) was achieved for first class (supine posture type). After the classification, we send the information to the staff desktop application. The application reminds employees when it is necessary to change the lying position of individual subjects and thus prevent bedsores.

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Low Profile and Low Cost Textile Smart Mat for Step Pressure Sensing and Position Mapping

Cited by 13 publications

References 11 publications

Suitability of common single circuit boards for sensing and actuating in smart textiles

Suitability of common single circuit boards for sensing and actuating in smart textiles

A Velostat-Based Pressure-Sensitive Mat for Center-of-Pressure Measurements: A Preliminary Study

A Smart IoT System for Detecting the Position of a Lying Person Using a Novel Textile Pressure Sensor

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