Instrumentation and Measurement Technology Conference 

About: Instrumentation and Measurement Technology Conference is an academic conference. The conference publishes majorly in the area(s): Signal & Signal processing. Over the lifetime, 10692 publications have been published by the conference receiving 83888 citations.

EMI shielding measurements of conductive polymer blends

Abstract: Shielding efficiencies for a number of blends containing a variety of conductive fillers, including intrinsically conductive polymers, have been measured in the near field with a dual-chamber box and in the far field with a transmission line fixture. Although all samples satisfied the classical good-conductor approximation, most of them exhibited a crossover from being electrically thin (thickness skin depth) over the frequency range of interest, 1 MHz to 3 GHz. The theoretical relations for both near-field and far-field shielding which are prevalent in the literature do not accurately describe this region of crossover. The authors have derived expressions which describe the behavior accurately over the entire range of interest. Far-field shielding efficiencies as high as 70 dB at 1 GHz were measured for purely organic composites consisting of an intrinsically conductive polymer, polyaniline, dispersed in a thermoplastic matrix. >

ECG analysis: a new approach in human identification

Abstract: In this article a new approach in human identification is investigated. For this purpose a standard 12-lead electrocardiogram (EGG), recorded during rest, is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence only three electrodes has to be attached on the person to be identified. This makes the method applicable without too much effort.

Real-time Vision-based Hand Gesture Recognition Using Haar-like Features

Abstract: This paper proposes a two level approach to solve the problem of real-time vision-based hand gesture classification. The lower level of the approach implements the posture recognition with Haar-like features and the AdaBoost learning algorithm. With this algorithm, real-time performance and high recognition accuracy can be obtained. The higher level implements the linguistic hand gesture recognition using a context-free grammar-based syntactic analysis. Given an input gesture, based on the extracted postures, the composite gestures can be parsed and recognized with a set of primitives and production rules.

Digital time-of-flight measurement for ultrasonic sensors

Abstract: Ultrasonic sensor measurements are mostly based on the determination of the time of flight (TOF). The authors present the development of a digital algorithm for pulse-echo measurement applications, based on the use of a cross-correlation function to determine the TOF. Some experimental results are presented, and the possibility of realizing a low-cost real-time measurement system is considered. >

The interpolated fast Fourier transform: a comparative study

Abstract: The properties of five interpolating fast Fourier transform methods (IFFT) are studied with respect to their systematic errors and their noise sensitivity, for a monofrequency signal. It is shown that windows with small spectral sidelobes do not always result in a better overall performance of the IFFT and that time-domain estimators can be more efficient than the IFFT methods analyzed. It is also, shown that time-domain techniques have a lower Cramer-Rao lower bound than the IFFT methods, which can result in more efficient estimates. >