Wearable gait measurement system based on accelerometer and pressure sensor

Parikesit, Elang; Mengko, Tati L. R.; Zakaria, Hasballah

doi:10.1109/icici-bme.2011.6108634

Cited by 10 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, the impact of acquisition channels on the recognition rate and recognition time will be tested. In previous researches, sensors were generally placed at toe, little ball, great ball, and toe heel on human physiological characteristics, which are position 1, 2, 7, and 4 in Figure 2, respectively [34, 35]. We took the data of FSR1, FSR2, FSR4, and FSR7 for data fusion.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Human Moving Pattern Recognition toward Channel Number Reduction Based on Multipressure Sensor Network

Peng

Cao

Huang

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

A pair of sensing shoes for measuring foot pressure was developed. This system aims at recognizing human movement in unlimited environments. The multipressure sensor network of seven sensors on one insole was set up. Analysis for discriminating the user's movements from foot pressure distribution was carried out, considering the movements of standing, walking, going upstairs, and going downstairs. These actions were discriminated using characteristics extracted from the data of sensors. The classifier based on SVM showed highly accurate movement recognition. Specifically, to improve the classification performance, PCA based dimensionality reduction and channel reduction based data fusion were introduced. Experimental outcomes verified the testing speed of the classification function which was improved without affecting the accuracy rate. The results confirmed that this discriminant analysis can be employed for automatically recognizing human moving pattern based on foot pressure signal.

show abstract

Section: Experimental Results and Analysismentioning

confidence: 99%

Human Moving Pattern Recognition toward Channel Number Reduction Based on Multipressure Sensor Network

Peng

Cao

Huang

et al. 2013

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…Many resistive sensing materials, such as conductive polymers, nanomaterials that cover single-or multi-wall carbon nanotubes, graphene, and nanoparticles, can be deposited on flexible polyethylene terephthalate (PET) and polyimide-based substrates using inkjet or screen-printing techniques [20][21][22]. An array form of the flexible resistive sensor is developed and adopted in wearable electronic applications, which can help improve the measurement accuracy, sensitivity, and selectivity while helping in multianalyte detection [11,[23][24][25][26][27][28][29][30]. Significant evolutions are engineered in readout electronics for sensing devices parallel to the sensor development.…”

Section: Introductionmentioning

confidence: 99%

High Density Resistive Array Readout System for Wearable Electronics

Lakshminarayana

Park

et al. 2022

Sensors

View full text Add to dashboard Cite

This work presents a wearable sensing system for high-density resistive array readout. The system comprising readout electronics for a high-density resistive sensor array and a rechargeable battery, was realized in a wristband. The analyzed data with the proposed system can be visualized using a custom graphical user interface (GUI) developed in a personal computer (PC) through a universal serial bus (USB) and using an Android app in smartphones via Bluetooth Low Energy (BLE), respectively. The readout electronics were implemented on a printed circuit board (PCB) and had a compact dimension of 3 cm × 3 cm. It was designed to measure the resistive sensor with a dynamic range of 1 KΩ–1 MΩ and detect a 0.1% change of the base resistance. The system operated at a 5 V supply voltage, and the overall system power consumption was 95 mW. The readout circuit employed a resistance-to-voltage (R-V) conversion topology using a 16-bit analog-to-digital converter (ADC), integrated in the Cypress Programmable System-on-Chip (PSoC®) 5LP microcontroller. The device behaves as a universal-type sensing system that can be interfaced with a wide variety of resistive sensors, including chemiresistors, piezoresistors, and thermoelectric sensors, whose resistance variations fall in the target measurement range of 1 KΩ–1 MΩ. The system performance was tested with a 60-resistor array and showed a satisfactory accuracy, with a worst-case error rate up to 2.5%. The developed sensing system shows promising results for applications in the field of the Internet of things (IoT), point-of-care testing (PoCT), and low-cost wearable devices.

show abstract

“…Insufficient pressure means that the treatment is less effective whilst excessive pressure can lead to tissue damage, or might even require amputation in severe cases [9]. Nowadays, thin-film force and pressure sensors have been broadly utilized to measure the interfacial pressure of intimate apparel [10][11][12][13], compression stockings [8,9,14], sports compression garments [15,16], a posture correction girdle [17], and pressure garments for burn treatment [1, 3,18], as well as the plantar foot pressure in gait analyses [19,20]. The thin-film force and pressure sensors help to control the exact pressure applied and optimize the fit of the end-products.…”

Section: Introductionmentioning

confidence: 99%

Effect of Contacting Surface on the Performance of Thin-Film Force and Pressure Sensors

Tang

Yick

et al. 2020

Sensors

View full text Add to dashboard Cite

Flexible force and pressure sensors are important for assessing the wear comfort of tightly fitting apparel. Their accuracy and repeatability depend on the sensor itself and the contacting surface. Measurements of the contact pressure on soft surfaces like human skin tend to be erroneous, which could be due to incorrect sensor calibrations. This study aims to examine the effects of human body parameters such as the hardness and temperature of the contacting surface by using a custom-made calibration setup and investigating the incorporation of rigid discs on the sensor surface. Two commercial force sensors, FlexiForce and SingleTact, and one pressure sensor, Pliance X, are used in the investigation. The findings reveal that adding rigid discs on both sides of the force sensors improves their sensitivity. Systematic calibration has been performed on the surfaces with different temperatures and hardness. The results show that FlexiForce and Pliance X tend to be affected by the changes in surface temperature and surface hardness. Prolonged testing time shows that the time dependence of SingleTact and Pliance X sensor is lower, which suggests that they are more suitable for lengthier evaluations in which interface pressure is exerted on the human body. In brief, sensor attachment and proper calibration should be thoroughly considered before using sensors for applications on soft surfaces, like the human body.

show abstract

Wearable gait measurement system based on accelerometer and pressure sensor

Cited by 10 publications

References 2 publications

Human Moving Pattern Recognition toward Channel Number Reduction Based on Multipressure Sensor Network

Human Moving Pattern Recognition toward Channel Number Reduction Based on Multipressure Sensor Network

High Density Resistive Array Readout System for Wearable Electronics

Effect of Contacting Surface on the Performance of Thin-Film Force and Pressure Sensors

Contact Info

Product

Resources

About