The LMBP algorithm is used to calibrate the load cell sensor values. The LMBP algorithm was implemented by taking the reference load cell force values as an output matrix and the pressure sensor values as a feature vector. The experimental dataset is the input matrix of the LMBP algorithm, the output of the algorithm is the load cell sensor parameters, which were calibrated using the proposed algorithm. The trained LMBP algorithm was applied to the dataset to determine the output matrix of the proposed LMBP-ANN algorithm. The output matrix is the load cell sensor values. The proposed LMBP-ANN algorithm was implemented using the dataset that was obtained from the output matrix of the LMBP algorithm. The LMBP-ANN algorithm was designed to be used to calibrate the pressure sensor values.
This paper presents a novel LMBP-ANN calibration algorithm, which is a hybrid of LMBP and ANN. The proposed LMBP-ANN calibration algorithm is suitable for the calibration of dynamic pressure sensors. It can be used to process the calibration of the sensor data in the real time by implementing the LMBP algorithm. In this sense, the load cell values in RT are processed. The LMBP-ANN calibration algorithm is a time saving solution for the calibration of dynamic pressure sensors. The LMBP-ANN calibration algorithm was conducted using the training and testing datasets that were obtained from five FlexiForce sensors during 20 min of dynamic loading and holding. The experimental results showed that the calibration parameters of the LMBP-ANN algorithm are obtained with an average error of 2.2% and an error variation of 0.2% compared to the reference load cell force values. These results are reliable and more effective than the classical calibration methods for intelligent sensors. Thereby, this allows for a secure grip for paralyzed patients. The proposed calibration algorithm will be applied in several applications of the intelligent sensor in the future.
The FlexiForce sensors were used to conduct the experiment. The calibration method is implemented as a software based calibration tool. The calibration method is based on the LMBP and ANN algorithm, which is suitable for real time. The calibration method is developed on the FlexiForce software package (version 1.5.4). The proposed calibration method was performed for five FlexiForce sensors, which were later distributed to the five fingers of the wearable robotic hand glove.
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