2,240 research outputs found
Multi-modal Approach for Affective Computing
Throughout the past decade, many studies have classified human emotions using
only a single sensing modality such as face video, electroencephalogram (EEG),
electrocardiogram (ECG), galvanic skin response (GSR), etc. The results of
these studies are constrained by the limitations of these modalities such as
the absence of physiological biomarkers in the face-video analysis, poor
spatial resolution in EEG, poor temporal resolution of the GSR etc. Scant
research has been conducted to compare the merits of these modalities and
understand how to best use them individually and jointly. Using multi-modal
AMIGOS dataset, this study compares the performance of human emotion
classification using multiple computational approaches applied to face videos
and various bio-sensing modalities. Using a novel method for compensating
physiological baseline we show an increase in the classification accuracy of
various approaches that we use. Finally, we present a multi-modal
emotion-classification approach in the domain of affective computing research.Comment: Published in IEEE 40th International Engineering in Medicine and
Biology Conference (EMBC) 201
Using deep learning to understand and mitigate the qubit noise environment
Understanding the spectrum of noise acting on a qubit can yield valuable
information about its environment, and crucially underpins the optimization of
dynamical decoupling protocols that can mitigate such noise. However,
extracting accurate noise spectra from typical time-dynamics measurements on
qubits is intractable using standard methods. Here, we propose to address this
challenge using deep learning algorithms, leveraging the remarkable progress
made in the field of image recognition, natural language processing, and more
recently, structured data. We demonstrate a neural network based methodology
that allows for extraction of the noise spectrum associated with any qubit
surrounded by an arbitrary bath, with significantly greater accuracy than the
current methods of choice. The technique requires only a two-pulse echo decay
curve as input data and can further be extended either for constructing
customized optimal dynamical decoupling protocols or for obtaining critical
qubit attributes such as its proximity to the sample surface. Our results can
be applied to a wide range of qubit platforms, and provide a framework for
improving qubit performance with applications not only in quantum computing and
nanoscale sensing but also in material characterization techniques such as
magnetic resonance.Comment: Accepted for publication, 15 pages, 10 figure
Mobility and asymmetry effects in one-dimensional rock-paper-scissors games
As the behavior of a system composed of cyclically competing species is
strongly influenced by the presence of fluctuations, it is of interest to study
cyclic dominance in low dimensions where these effects are the most prominent.
We here discuss rock-paper-scissors games on a one-dimensional lattice where
the interaction rates and the mobility can be species dependent. Allowing only
single site occupation, we realize mobility by exchanging individuals of
different species. When the interaction and swapping rates are symmetric, a
strongly enhanced swapping rate yields an increased mixing of the species,
leading to a mean-field like coexistence even in one-dimensional systems. This
coexistence is transient when the rates are asymmetric, and eventually only one
species will survive. Interestingly, in our spatial games the dominating
species can differ from the species that would dominate in the corresponding
nonspatial model. We identify different regimes in the parameter space and
construct the corresponding dynamical phase diagram.Comment: 6 pages, 5 figures, to appear in Physical Review
Towards out-of-the-lab EEG in uncontrolled environments: feasibility study of dry EEG recordings during exercise bike riding
Application of mechanically alloyed Mn-Al metallic particles to wastewater treatment: a comparative investigation of chemical and bacterial approaches to dye degradation in residual textile waters
Peer ReviewedPostprint (author's final draft
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