2,828 research outputs found
Hierarchical transfer learning for online recognition of compound actions
Recognising human actions in real-time can provide users with a natural user interface (NUI) enabling a range of innovative and immersive applications. A NUI application should not restrict users’ movements; it should allow users to transition between actions in quick succession, which we term as compound actions. However, the majority of action recognition researchers have focused on individual actions, so their approaches are limited to recognising single actions or multiple actions that are temporally separated. This paper proposes a novel online action recognition method for fast detection of compound actions. A key contribution is our hierarchical body model that can be automatically configured to detect actions based on the low level body parts that are the most discriminative for a particular action. Another key contribution is a transfer learning strategy to allow the tasks of action segmentation and whole body modelling to be performed on a related but simpler dataset, combined with automatic hierarchical body model adaption on a more complex target dataset. Experimental results on a challenging and realistic dataset show an improvement in action recognition performance of 16% due to the introduction of our hierarchical transfer learning. The proposed algorithm is fast with an average latency of just 2 frames (66 ms) and outperforms state of the art action recognition algorithms that are capable of fast online action recognition
Educational software bundle for studying magnetotelluric theory and specific geoelectric structure models
Long-lived Giant Number Fluctuations in a Swarming Granular Nematic
Coherently moving flocks of birds, beasts or bacteria are examples of living
matter with spontaneous orientational order. How do these systems differ from
thermal equilibrium systems with such liquid-crystalline order? Working with a
fluidized monolayer of macroscopic rods in the nematic liquid crystalline
phase, we find giant number fluctuations consistent with a standard deviation
growing linearly with the mean, in contrast to any situation where the Central
Limit Theorem applies. These fluctuations are long-lived, decaying only as a
logarithmic function of time. This shows that flocking, coherent motion and
large-scale inhomogeneity can appear in a system in which particles do not
communicate except by contact.Comment: This is the author's version of the work. It is posted here by
permission of the AAAS. The definitive version is to appear in SCIENC
Scalable numerical approach for the steady-state ab initio laser theory
We present an efficient and flexible method for solving the non-linear lasing
equations of the steady-state ab initio laser theory. Our strategy is to solve
the underlying system of partial differential equations directly, without the
need of setting up a parametrized basis of constant flux states. We validate
this approach in one-dimensional as well as in cylindrical systems, and
demonstrate its scalability to full-vector three-dimensional calculations in
photonic-crystal slabs. Our method paves the way for efficient and accurate
simulations of lasing structures which were previously inaccessible.Comment: 17 pages, 8 figure
Rationale and Design of an Online Educational Program Using Game-Based Learning to Improve Nutrition and Physical Activity Outcomes Among University Students in the United Kingdom.
OBJECTIVE: To assess the impact of an online game-based educational program on nutrition knowledge and dietary and physical activity habits among university students in the United Kingdom. DESIGN: Randomized controlled trial with pre- and postintervention comparisons. SETTING: Two higher education settings in London, UK. SUBJECTS: Current undergraduate and postgraduate students of two universities (n = 88) aged 18-34 years are randomly allocated to an intervention (n = 44) or a control group (n = 44). INTERVENTION: The intervention group will receive access to an educational website and online quizzes with gamification elements, including information about healthy eating and physical activity. The control group will receive no information. Duration of the intervention will be 10 weeks. MEASURES OF OUTCOME: Primary outcome is nutrition knowledge. Secondary outcomes include dietary and activity habits. Nutrition knowledge and dietary and activity habits will be assessed using questionnaires. Weekly steps will be counted using pedometers. Assessment of anthropometric and metabolic risk factors will take place. ANALYSIS: Quantitative analysis will investigate changes in nutrition knowledge between the two groups of the study population. Linear regression analysis will be used, if the data follow the normal distribution (otherwise binomial regression analysis), to examine whether field of study, residence status, body mass index (BMI), and demographic factors affect nutrition knowledge. Associations between changes in knowledge and dietary and physical activity behavior will be assessed by correlations. CONCLUSIONS/IMPLICATIONS: The study will provide insights with regard to the design and use of online game-playing as a cost-effective approach to improve nutritional knowledge among university students
-Symmetric Periodic Optical Potentials
In quantum theory, any Hamiltonian describing a physical system is mathematically represented by a self-adjoint linear operator to ensure the reality of the associated observables. In an attempt to extend quantum mechanics into the complex domain, it was realized few years ago that certain non-Hermitian parity-time () symmetric Hamiltonians can exhibit an entirely real spectrum. Much of the reported progress has been remained theoretical, and therefore hasn't led to a viable experimental proposal for which non Hermitian quantum effects could be observed in laboratory experiments. Quite recently however, it was suggested that the concept of -symmetry could be physically realized within the framework of classical optics. This proposal has, in turn, stimulated extensive investigations and research studies related to -symmetric Optics and paved the way for the first experimental observation of -symmetry breaking in any physical system. In this paper, we present recent results regarding -symmetric Optic
Fast semi-automatic segmentation of focal liver lesions in contrast-enhanced ultrasound, based on a probabilistic model
Exactly solvable Wadati potentials in the PT-symmetric Gross-Pitaevskii equation
This note examines Gross-Pitaevskii equations with PT-symmetric potentials of
the Wadati type: . We formulate a recipe for the construction of
Wadati potentials supporting exact localised solutions. The general procedure
is exemplified by equations with attractive and repulsive cubic nonlinearity
bearing a variety of bright and dark solitons.Comment: To appear in Proceedings of the 15 Conference on Pseudo-Hermitian
Hamiltonians in Quantum Physics, May 18-23 2015, Palermo, Italy (Springer
Proceedings in Physics, 2016
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