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Computer Vision and Machine Learning are the key to develop autonomous robots. While engaged with a IEEE Open Challenge, in which the robots need to recognize a miniature of a cow, we saw a solution in these areas. The main contribution of this paper is the algorithm implemented to identify and follow a known object, the miniature of a cow. We are constructing an application based on Image Processing...
ORB-SLAM2 is one of the better-known open source SLAM implementations available. However, the dependence of visual features causes it to fail in featureless environments. With the present work, we propose a new technique to improve visual odometry results given by ORB-SLAM2 using a tightly Sensor Fusion approach to integrate camera and odometer data. In this work, we use odometer readings to improve...
The software composition using high-granularity entities nowadays is a common practice. The process of software composition is supported by various CASE tools. First tools were made on the basis of very simple formalisms (e.g. intuitionistic propositional logic). During the years the tools evolved to more efficient ones, which are able to deal with concurrency, multiparty sessions and other advanced...
In monocular vision systems, lack of knowledge about metric distances caused by the inherent scale ambiguity can be a strong limitation for some applications. We offer a method for fusing inertial measurements with monocular odometry or tracking to estimate metric distances in inertial-monocular systems and to increase the rate of pose estimates. As we performed the fusion in a loosely-coupled manner,...
[Background]: Developing conceptual models is an integral part of the requirements engineering (RE) process. Goal models are requirements engineering conceptual models that allow diagrammatic representation of stakeholder intentions and how they affect each other. A specific goal modeling language construct, the contribution of goal satisfaction of one goal to another, plays a central role in supporting...
Empirical software engineering research aims to generate prescriptive knowledge that can help software engineers improve their work and overcome their challenges, but deriving these insights from real-world problems can be challenging. In this paper, we promote design science as an effective way to produce and communicate prescriptive knowledge. We propose using a visual abstract template to communicate...
The inclusion of people with disabilities in the labor market can be a difference in the quality of life of individuals, and to participate equally in society, respecting the rights and obligations is still a challenge. This article presents the development of an immersive system and the evaluation of it focusing on the empowerment of people with intellectual disabilities to labor inclusion. The research...
The results of the inclusion of Virtual Reality in the production line of an Industry Joalheira in the state of Bahia, a case study which was conducted in the elevenmonth period by a Startup consisting of two professional Designers and one Information Technology, between the years of 2008 and 2009. The production flow of this jewelery factory was losses due to continuous communication difficulties...
Autism Spectrum Disorder (ASD) is a behavioral syndrome with different etiologies, deeply affecting the process of child development. Children with ASD have some characteristics in common such as the inability to relate to other people, leading to isolation, communication disorders and obsessive concern for what is unchanging. In addition, these people may experience learning difficulties in various...
Smart TVs have been popularized in the last years, presenting continued innovation regarding different topics such as connectivity, platform support, and options for interaction. Examples of LG and Samsung present interaction options such as voice and gesture control, showing these emerging technologies that were previously tackled mainly on research investigations, as market alternative solutions...
People with some kind of disability face a high level of difficulty for everyday tasks because, in many cases, accessibility was not considered necessary when the task or process was designed. An example of this scenario is a computer's BIOS configuration screens, which do not consider the specific needs, such as screen readers, of visually impaired people. This paper proposes the idea that it is...
In this work, we present an interactive musical game for children, developed using the Unreal Engine 4, with gestural control using the Leap Motion device. To each musical note is assigned a specific gesture to be played with the hand and fingers, so that a virtual puppet can dance according to the music, stimulating the improvement of motor control of children while playing, as well as the learning...
In motor rehabilitation, the search for better methodologies is intense. In parallel, natural interaction technologies are considered to be a nice approach for rehabilitation guidance, as they can provide content for visual feedback in augmented reality. This paper describes an augmented reality physiotherapy rehabilitation system called ARkanoidAR, which was implemented using the Microsoft Kinect...
Fear of flying is a real problem that affects the world's population. Approximately 25% of adults experience a significant increase in their anxiety levels when required to take any type of air transport and 10% of them avoid the situation. The approach that has proven to be the most effective in the treatment of phobias is in vivo exposure. However, the difficulty and the cost, and sometimes even...
This work presents the development and validation of a natural interaction method in an immersive CAVE environment. The Microsoft Kinect was used to track the user actions, but only the infrared camera of the device was used, through a gesture recognition model developed by (LEITE, 2015). From such gesture recognition, a nre grammer was defined, as needed for an immersive environment such a the CAVE...
To continue scaling in future and to meet emerging application requirements, revolutionary concepts are required not just on "how can we find better switches to implement computers", but also on "how computers compute logic". Multi-Valued Logic (MVL) provides one such opportunity, since efficient implementation of MVL can allow compact and enhanced information processing and be...
Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promise as baseline fixed feature extractors through transfer learning, a technique that helps minimize the training cost on visual information. Temporal information is often handled using hand-crafted features or Recurrent Neural...
This work proposes a method that allows the entry of text using the Google Cardboard, for this, uses gestures based on geometric forms and smartwatches. Thus, it is proposed the development of a prototype with the purpose of inserting a letter with no more than two user interactions. Gesture recognition is performed using the incremental recognition algorithm. After recognizing the gestures, they...
This work aims to present a methodology of communication between a criminal database and a virtual environment for forensic study, using a proprietary software and a virtual reality prototype, in order to support forensic science activities. The objective is to assist the forensic professional offering the use of criminal investigation resources inside a crime scene simulation, with sensations of...
This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning...
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