David Jardim

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In this paper we present a method that allows an agent to discover and create temporal abstractions autonomously. Our method is based on the concept that to reach the goal, the agent must pass through relevant states that we will interpret as subgoals. To detect useful subgoals, our method creates intersections between several paths leading to a goal. Our(More)
Using the notion that children learn by interacting with the surrounding world and by playing, the project sets an innovative approach and environment to provide mathematical concepts to children in the ages from 5 to 7 through interaction with a computer game. Notions such as numbers, weight, dynamics, gravity, collision, geometry, adding, sets and groups(More)
Human Activity Recognition (HAR) is an interdisciplinary research area that has been attracting interest from several research communities specialized in machine learning, computer vision, medical and gaming research. The potential applications range from surveillance systems, human computer interfaces, sports video analysis, digital shopping assistants,(More)
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