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Therapeutic games motivate patients and intrinsically generate a large number of movement repetitions that is key to inducing brain plasticity and facilitating recovery. While virtual rehabilitation has gained clinical acceptance, bimanual therapy is less developed at this time. The novel RABBIT system combines physical and cognitive training via integrative game-play sessions. Using the Razer Hydra...
This research investigated a retail sales forecasting problem based on early sales. An effective multivariate intelligent decision-making (MID) model is developed to handle this problem by integrating a data preparation and preprocessing module, a harmony search-wrapper-based variable selection (HWVS) module and a multivariate intelligent forecaster (MIF) module. The HWVS module selects out the optimal...
In this paper, we present a novel interactive image segmentation technique that automatically learns segmentation parameters tailored for each and every image. Unlike existing work, our method does not require any offline parameter tuning or training stage, and is capable of determining image-specific parameters according to some simple user interactions with the target image. We formulate the segmentation...
We present an energy-minimization-based framework for locating the centerline and estimating the width of tubelike objects from their structural network with a nonparametric model. The nonparametric representation promotes simple modeling of nested branches and -way furcations, i.e., structures that abound in an arterial network, e.g., a cerebrovascular circulation. Our method is capable of extracting...
A novel approach, which is based on artificial neural network (ANN) by backpropagation, for fast and trusted herbal ingredient discoveries, is proposed. It is fast, because different ANN modules can be executed in parallel, and the ANN results are trustworthy, because they can be verified by TCM domain experts in real clinical environments. The ANN is able to learn the relationship between herbal...
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