A PROTOTYPE OF FOOT PRESSURE DISTRIBUTION SCANNER USING PRESSURE-RESISTIVE SENSOR MATRIX

Athletes need a body system that is able to function properly and optimally to be able to produce the best performance. Many factors affect the function to run well and optimally, one important factor is good posture. Good posture makes the body symmetrical and balanced so that the distribution of l...

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Bibliographic Details
Main Author: SUKMANANDA SUPRAPTO (NIM : 23215310), SENA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/24254
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Athletes need a body system that is able to function properly and optimally to be able to produce the best performance. Many factors affect the function to run well and optimally, one important factor is good posture. Good posture makes the body symmetrical and balanced so that the distribution of loads spread evenly <br /> <br /> <br /> throughout the body. The current technological development of posture for foot pressure measurement early diagnostics is pedobarograph. <br /> <br /> <br /> In this research, the design of the footprint scanning system using pressure resistive sensor matrix (velostat) is used to determine the characteristics of <br /> <br /> <br /> resistive (velostat) sensors in the implementation and evaluation on the appropriate system for measuring the foot pressure distribution. <br /> <br /> <br /> The system design stage uses a diode as a current rectifier, where the phenomenon in which the output value of the sensor to the surrounding sensor in the matrix arrangement (cross talk) can be overcome. <br /> <br /> <br /> The system calibration stage uses a dynamometer of 1 - 15N range and there is a linear relationship between the compressive force and the sensor matrix conductance. There is a variation in the calibration value of each sensor on the sensor matrix where the value has no correlation to the coordinate of the sensor in the matrix which can be overcome by using the median filter. <br /> <br /> <br /> The system evaluation stage was obtained by comparing the sensor matrix with several other methods implemented in RSON and obtained the performance of the <br /> <br /> <br /> sensor matrix in the form of the comparison of the footprint area with the error value of 7.3% to 68.8%, the average pressure of 7.3% to 68.8%, the maximum <br /> <br /> <br /> pressure 37.6% to 70.7%, body weight of 0.4% to 12.1%, and arch-index with a specificity value of 0.3 and a sensitivity of 0.5.