240 research outputs found
Depression Estimation Using Audiovisual Features and Fisher Vector Encoding
International audienceWe investigate the use of two visual descriptors: Local Bi-nary Patterns-Three Orthogonal Planes(LBP-TOP) and Dense Trajectories for depression assessment on the AVEC 2014 challenge dataset. We encode the visual information gen-erated by the two descriptors using Fisher Vector encod-ing which has been shown to be one of the best performing methods to encode visual data for image classification. We also incorporate audio features in the final system to intro-duce multiple input modalities. The results produced using Linear Support Vector regression outperform the baseline method[16]
A Framework for Designing Fair Ubiquitous Computing Systems
Over the past few decades, ubiquitous sensors and systems have been an
integral part of humans' everyday life. They augment human capabilities and
provide personalized experiences across diverse contexts such as healthcare,
education, and transportation. However, the widespread adoption of ubiquitous
computing has also brought forth concerns regarding fairness and equitable
treatment. As these systems can make automated decisions that impact
individuals, it is essential to ensure that they do not perpetuate biases or
discriminate against specific groups. While fairness in ubiquitous computing
has been an acknowledged concern since the 1990s, it remains understudied
within the field. To bridge this gap, we propose a framework that incorporates
fairness considerations into system design, including prioritizing stakeholder
perspectives, inclusive data collection, fairness-aware algorithms, appropriate
evaluation criteria, enhancing human engagement while addressing privacy
concerns, and interactive improvement and regular monitoring. Our framework
aims to guide the development of fair and unbiased ubiquitous computing
systems, ensuring equal treatment and positive societal impact.Comment: 8 pages, 1 figure, published in 2023 ACM International Joint
Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International
Symposium on Wearable Computin
Applying Dynamic Integration as a Software Infrastructure for Context-Aware Computing
Much of the software engineering literature examines techniques and practices that help us to build systems that we have been building for many years already. While there is merit in seeking ways to raise the floor of software engineering practice, we also have an obligation to research software design issues that push the envelope of existing computing technology. One of the features of future interactive computing environments is that they will provide context-aware services that leverage off of knowledge of a person's physical state and surrounding environment. With the proliferation of network-based computing services that are a characteristic of an emerging ubiquitous computing society, there is a real issue with providing a software infrastructure that will support context-aware services. In this paper, we examine software engineering work on component integration and introduce a prototype infrastructure that provides a dynamic and scalable context-aware computing environment. We will describe how we have applied this component infrastructure to build a futuristic personal information management system involving automatic cooperation between desktop, network and mobile services
A fieldwork of the future with user enactments
Designing radically new technology systems that people will want to use is complex. Design teams must draw on knowledge related to people’s current values and desires to envision a preferred yet plausible future. However, the introduction of new technology can shape people’s values and practices, and what-we-know-now about them does not always translate to an effective guess of what the future could, or should, be. New products and systems typically exist outside of current understandings of technology and use paradigms; they often have few interaction and social conventions to guide the design process, making efforts to pursue them complex and risky. User Enactments (UEs) have been developed as a design approach that aids design teams in more successfully investigate radical alterations to technologies ’ roles, forms, and behaviors in uncharted design spaces. In this paper, we reflect on our repeated use of UE over the past five years to unpack lessons learned and further specify how and when to use it. We conclude with a reflection on how UE can function as a boundary object and implications for future work
On genus one mirror symmetry in higher dimensions and the BCOV conjectures
The mathematical physicists Bershadsky-Cecotti-Ooguri-Vafa (BCOV) proposed,
in a seminal article from '94, a conjecture extending genus zero mirror
symmetry to higher genera. With a view towards a refined formulation of the
Grothendieck-Riemann-Roch theorem, we offer a mathematical description of the
BCOV conjecture at genus one. As an application of the arithmetic Riemann-Roch
theorem of Gillet-Soul\'e and of our previous results on the BCOV invariant, we
establish this conjecture for Calabi-Yau hypersurfaces in projective spaces.
Our contribution takes place on the -side, and together with the work of
Zinger on the -side, it provides the first complete examples of the mirror
symmetry program in higher dimensions. The case of quintic threefolds was
studied by Fang-Lu-Yoshikawa. Our approach also lends itself to arithmetic
considerations of the BCOV invariant, and we study a Chowla-Selberg type
theorem expressing it in terms of special values for certain
Calabi-Yau manifolds with complex multiplication.Comment: Revised argument in sections 3 and 4, main results unchange
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