Drop Measurement System for Biomedical Application
This paper describes the realization of a sensor capable of measuring the volume of a drop in free fall. The sensor realized is made of a simple low-cost red laser…
Tags: matlab projects
Biomedical Research in Italy: From wearable sensorts to tissue engineering, Italian biomedical engineers continue a long-established legacy of scientific inquiry.
From the Colosseum to the Roman aqueducts, Italy has historically been admired, envied, and imitated for its feats in advanced engineering. Beginning with Leonardo da Vinci?s military tanks and extending…
A Memristor-Based Continuous-Time Digital FIR Filter for Biomedical Signal Processing
This paper proposes a new timing storage circuit based on memristors. Its ability to store and reproduce timing information in an analog manner without performing quantization can be useful for…
Improper Complex-Valued Bhattacharyya Distance
Motivated by application of complex-valued signal processing techniques in statistical patternrecognition, classification, and Gaussian mixture (GM) modeling, this paper derives analytical expressions for computing the Bhattacharyya coefficient/distance (BC/BD) between two improper…
Induction motor fault diagnosis using multiple class feature selection
This paper presents an effective and practical multiple class feature selection (MCFS) approach for induction motor fault diagnosis. Wavelet transform is applied to extracting energy features at some specific frequency…
Toward conceptual representation of patterns
Patterns present broad solutions rather than specific results for problem solving. Such generality is required in the complex world of software development, where the notion of model-driven development is integrated with…
Speed bump detection system by autothresholding method
Traffic Sign Recognition Systems help drivers by classifying the traffic signs with some dedicated hardware. In this study, color segmentation and pattern recognition algorithms are developed for detecting speed bump traffic sign. For detection, standard…
Visual Domain Adaptation: A survey of recent advances
In pattern recognition and computer vision, one is often faced with scenarios where the training data used to learn a model have different distribution from the data on which the model is applied.…
Joint optimization for discriminative, compact and robust Brain-Computer Interfacing
We present a new pattern recognition framework for Brain-Computer Interfacing that learns discriminative brain activity patterns, compact modeling, and robustness against signal variabilities by a single joint optimization. We present an algorithm based on…
Human action recognition based on motion capture information using fuzzy convolution neural networks
In this paper, we propose a novel approach for human action recognition based on motion capture (MOCAP) information using a Fuzzy convolutional neural network. The MOCAP tracking information of human joints is…