2018
DOI: 10.1109/jsen.2018.2795739
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The Inductor as a Smart Sensor for Material Identification in Domestic Induction Cooking

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Cited by 16 publications
(9 citation statements)
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“…Using the direction of the earth's gravity measured by the accelerometer, the direction of the earth's magnetic field is measured by the magnetic sensor to correct the acceleration information of the hands and feet measured by the gyroscope. Using Kalman filter Fusion [22] to calculate the algorithm of human body three-dimensional posture data (3-axis acceleration, 3-axis angular velocity, 3-axis magnetic field strength), the posture information in the form of Euler angle, quota power, or rotation matrix was the output. Figure 5 is a flow chart of VM-i sensor data collection.…”
Section: R E T R a C T E D R E T R A C T E D R E T R A C T E Dmentioning
confidence: 99%
“…Using the direction of the earth's gravity measured by the accelerometer, the direction of the earth's magnetic field is measured by the magnetic sensor to correct the acceleration information of the hands and feet measured by the gyroscope. Using Kalman filter Fusion [22] to calculate the algorithm of human body three-dimensional posture data (3-axis acceleration, 3-axis angular velocity, 3-axis magnetic field strength), the posture information in the form of Euler angle, quota power, or rotation matrix was the output. Figure 5 is a flow chart of VM-i sensor data collection.…”
Section: R E T R a C T E D R E T R A C T E D R E T R A C T E Dmentioning
confidence: 99%
“…First, the harmonic impedance is calculated from the spectrum estimation of the current and voltage waveforms recorded at the inductor. Then, machine learning algorithms are used to process the feature set including four harmonic impedances and power factors to identify pot materials [ 4 ]. In the recognition of people's emotions, smart sensors have also played an important role.…”
Section: Introductionmentioning
confidence: 99%
“…In [11], off-line FEM simulations are correlated with experimental measurements to obtain the material magnetic properties. In [19], a neural network-based system was used to perform the classification of the pot material for a fixed single-inductor structure. Only in [16], off-line impedance variation is used to obtain an estimation of the covered area.…”
Section: B Review Of Identification and Detection Systemsmentioning
confidence: 99%