Sparse Representation of Electrodermal Activity With Knowledge-Driven Dictionaries


Biometric sensors and portable devices are being increasingly embedded into our everyday life, creating the need for robust physiological models that efficiently represent, analyze, and interpret the acquired signals. We propose a knowledge-driven method to represent electrodermal activity (EDA), a psychophysiological signal linked to stress, affect, and cognitive processing. We build EDA-specific dictionaries that accurately model both the slow varying tonic part and the signal fluctuations, called skin conductance responses (SCR), and use greedy sparse representation techniques to decompose the signal into a small number of atoms from the dictionary. Quantitative evaluation of our method considers signal reconstruction, compression rate, and information retrieval measures, that capture the ability of the model to incorporate the main signal characteristics, such as SCR occurrences. Compared to previous studies fitting a predetermined structure to the signal, results indicate that our approach provides benefits across all aforementioned criteria. This paper demonstrates the ability of appropriate dictionaries along with sparse decomposition methods to reliably represent EDA signals and provides a foundation for automatic measurement of SCR characteristics and the extraction of meaningful EDA features.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations - 2018ABSTRACT:Solving large-scale sparse linear systems of equations (SLSEs) is one in all the foremost common and basic problems in
PROJECT TITLE :A Generative Model for Sparse Hyperparameter Determination - 2018ABSTRACT:Sparse autoencoder is an unsupervised feature extractor and has been widely used in the machine learning and knowledge mining community.
PROJECT TITLE :Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition - 2018ABSTRACT:A sparse representation methodology for multidimensional signals is proposed. In typically
PROJECT TITLE :Sparse Activity Detection for Massive Connectivity - 2018ABSTRACT:This Project considers the large connectivity application in that a giant number of devices communicate with a base-station (BS) during a sporadic
PROJECT TITLE :Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem - 2018ABSTRACT:In this Project, we develop a Bayesian evidence maximization framework to unravel the sparse non-negative least

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry