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Affordance learning in general, is to identify the purpose, use, and ways to interact with an object, based on information gained from observing the object. Most of the existing affordance learning approaches assume the object target has been cropped individually from images. However, the object could not be easily separated from others due to occlusion or noise. Actually, two or more neighboring...
Agent-based modeling is a paradigm of modeling dynamic systems of interacting agents that are individually governed by specified behavioral rules. Training a model of such agents to produce an emergent behavior by specification of the emergent (as opposed to agent) behavior is easier from a demonstration perspective. Without the involvement of manual behavior specification via code or reliance on...
ConCIENCIA Estadística is a digital educational material proposed as support for the development of the homonymous workshop, organized in the framework of the Project for Improvement of Training in Exact and Natural Sciences in the Secondary School (Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa). This material is described in this paper, offering technical details of its...
Nowadays, people have to face many challenges In order to become familiar with all the functionalities of electronical devices. The training process becomes thus essential, especially when we are referring to consumer electronics created for people with disabilities. Our paper presents the importance of training visually impaired people for an advanced sensory substitution device. By using the advantages...
This paper presents a new discriminative learning framework to associate the relationship between the objects and the words in an image and perform template matching scheme for complex association patterns. The problem is first formulated as a bipartite graph matching problem. Thereafter, structural support vector machine (SVM) is employed to obtain the optimal compatibility function to encode the...
In the traditional concept, to become a professional cartoonist, need to accept a long time of painting training and implementation, and in the screen and the role and script design, the need to have a certain degree of imagination or talent, with these related Of the creative ability to create a fascinating comic works, this is not an easy thing.
The sense of agency (SoA) describes the feeling of being the author and in control of one's movements. It is closely linked to automated aspects of sensorimotor control and understood to depend on one's ability to monitor the details of one's movements. As such SoA has been argued to be a critical component of self-awareness in general and contribute to presence in virtual reality environments in...
Haptic guidance has previously been employed to improve human performance in control tasks. This paper presents an experiment to evaluate whether haptic feedback can be used to help humans learn a compensatory tracking task. In the experiment, participants were divided into two groups: the haptic group and the no-aid group. The haptic group performed a first training phase with haptic feedback and...
In this paper, we propose a tourism category classification method based on estimation of reliable decision. The proposed method performs tourism category classification using location, visual, and textual tag features obtained from tourism images in image sharing services. As the biggest contribution of this paper, the proposed method performs successful classification based on two classification...
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data to avoid overfitting during training. For applications in which the available data is not adequate to train a deep neural network from the scratch, deep neural networks trained for...
The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
Sentiment analysis found various applications in banking, financial, service, and insurance sector. In this regard, we proposed to analyze customer reviews on the basis of sentiment score. We analyzed a set of credible text reviews collected on 270 training programmes posted by 2688 participants in an organization. In order to evaluate the efficacy of the proposed approach, we computed correlation...
In many areas of science, scientists need to find distinct common characterizations of the same objects and, vice versa, identify sets of objects that admit multiple shared descriptions. For example, a biologist might want to find a set of bioclimatic conditions and a set of species, such that this bioclimatic profile adequately characterizes the areas inhabited by these fauna. In data analysis, the...
Existing methods for understanding the inner workings of convolutional neural networks have relied on visualizations, which do not describe the connections between the layers and units of the network. We introduce the prediction gradient as a measure of a neuron's relevance to prediction. Using this quantity, we study a relatively small convolutional neural network and make three observations. First,...
Interactive technologies can help people acquire movement skills, and one way is by using visual distortions to boost neural adaptation. An extreme version of such approach is to train a movement without moving by creating a synesthetic illusion of movement - displaying virtual motions when there is none. While this approach uses no proprioceptive error to drive adaptation, our results show encouraging...
Tracking unknown objects using adaptive tracking-by-detection approaches are widely used in computer vision. In these approaches, tracking problem is treated as an online classification problem, where the object classifier model is updated in the current frame to be used for classification process in the next frame. One of the approaches is based on Tracking-Learning-Detection (TLD) framework, where...
We present two critical elements from the design of a cockpit heads-down display symbology to support safe and efficient shipboard landings of rotorcraft in degraded visual environments. The symbology applies ecological interface design (EID) principles to support pilots’ direct perception of critical vehicle operating characteristics within the limitations of safety and performance constraints (while...
This paper presents the result of the work achieved in the frame of three successive European Projects, which aimed to build an innovative system to assist security managers in the crisis preparation, training and management phases. The iterative approach of the consortium is presented, as well as the results. A novel interactive and shared Common Operational Picture is proposed which has been validated...
The objective of this work is to augment actual hands-on conventional vocational training workshop with simulated training using virtual haptic simulations as part of computer-based vocational education and training. We have developed a system to simulate various common tool exercises and procedures in virtual environments for vocational training programs targeted towards illiterate and semi-literate...
In recent, the healthcare industry is developed to provide effective health and wellness services based on smart devices with IT convergence. Particularly, this smart device is helpful for making rehabilitation of unilateral neglect patient after stroke. In order to improve the balance of the unilateral neglect patient, a visual feedback training method with a smart device can be used. Thus, we propose...
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