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A technique for measuring the voltage on a person by combining an overhead mounted electrostatic field sensor with Microsoft Kinect image recognition software and hardware is presented in this paper. The Kinect's built-in skeleton detection method was used to determine the posture, height, and location of a person relative to the position of the field sensor. The voltage is estimated using field strength and geometry information. Two different algorithms are proposed for calculating the human body voltage using field strength data captured by the field sensor and human body coordinates recognized by the Kinect. First, using calibration data, the human body voltage was obtained by charging a person to a known voltage and walking through the field of vision, then a correction was performed to convert the field sensor data into the human body voltage. The second algorithm is based on solving Laplace equation. The human body is modeled by using a superposition of spheroids, and the E-field is solved analytically. Results of the algorithms were compared, with the proposed methodology providing less than a $ \pm\text{15}\% $ error margin for the human body voltage over a detection area of $\text{2.0 m} \times \text{2.5 m}$. [ABSTRACT FROM AUTHOR]

To demonstrate the electromagnetic full-wave simulation of a secondary electrostatic discharge (ESD), an ESD generator is modeled in three dimensions (3D) and in contact mode discharging to a non-grounded, metallic ear-mesh of a smartphone. The nonlinear Rompe–Weizel SPICE model computes the arc resistance of the secondary discharge between ungrounded metal and a grounded enclosure. The SPICE model is solved using a circuit simulator, and the 3-D model is solved using the transmission-line matrix time-domain numerical method. Transient cosimulation is a new technique that is used to solve both circuit and 3-D models at the same time. The simulation predicts the coupling from ESD to a victim trace in the smartphone. Measurements performed at several stages validate the simulation results. Using this novel methodology, the user can simulate the secondary discharge in products to predict ESD damage and disruption on a system level. [ABSTRACT FROM AUTHOR]

A new method is developed to extract relative complex permittivity and permeability of magneto-dielectric sheets. Two test fixtures are used to separately extract electric and magnetic properties of the material under test (MUT). The unknown parameters corresponding to dispersion models of the complex permittivity and permeability of the magneto-dielectric sheet are optimized by comparing the measured $\vert S_{{\rm{21}}}\vert $ of the test fixtures containing the MUT with the $\vert S_{{\rm{21}}}\vert $ obtained from full-wave simulation. CST Microwave Studio is used to perform the simulations and optimization. The method is verified and the extracted electromagnetic properties of two ferrite sheet samples are presented. Also, the uncertainty of the system due to air gaps in the test fixtures is investigated. [ABSTRACT FROM AUTHOR]