Thiago Chaves

• Master of Science
• Federal University of Pernambuco

The recognition of human activities (HAR) using wearable device data, such as smartwatches, has gained significant attention in the field of computer science due to its potential to provide insights into individuals’ daily activities. This article aims to conduct a comparative study of deep learning techniques for recognizing activities of daily li...

Fake news is information that does not represent reality but is commonly shared on the internet as if it were true, mainly because of its dramatic, appealing, and controversial content. Therefore, a relevant issue is to find characteristics that can assist in identifying Fake News, mainly nowadays, where an increasing number of fake news is spread...

Many power line companies are using UAVs to perform their inspection processes instead of putting their workers at risk by making them climb high voltage power line towers, for instance. A crucial task for the inspection is to detect and classify assets in the power transmission lines. However, public data related to power line assets are scarce, p...

We propose a novel real-time edge-based 6DoF tracking approach for 3D rigid objects requiring just a monocular RGB camera and a CAD model with material information. The technique is aimed at low-texture or textureless, pigmented objects. It works even when under strong illumination, motion, and occlusion challenges. We show how preprocessing the mo...

Voxar Labs is a research group focused in augmenting experiences through research, innovation and collaboration with academia and industry. It develops cutting-edge multi-disciplinary research in the large area of Spatial Computing, tackling the inner areas of Extended Reality, Computer Vision and Natural Interaction. The laboratory aims to create...

Voxar Labs is a research group focused in augmenting experiences through research, innovation and collaboration with academia and industry. It develops cutting-edge multi-disciplinary research in the large area of Spatial Computing, tackling the inner areas of Extended Reality, Computer Vision and Natural Interaction. The laboratory aims to create...

Since 1990, the International Society of Biomechanics (ISB) has made efforts to provide uniformity to motion description. However, the majority of user studies and technological systems that use motion recognition for rehabilitation, such as virtual and augmented reality (VR and AR), do not follows this standard. Typically, VR and AR techniques rec...

Background and objective: Interactive systems for rehabilitation have been widely investigated for motivational purposes. However, more attention should be given to the manner in which user movements are recognized and categorized. This paper aims to evaluate the efficacy of using a clinically-related gesture recognition tool, based on the interna...

In Science Fiction (Sci-Fi) movies, filmmakers try to anticipate trends and new forms of interaction. Metaphors are created allowing their characters to interact with futuristic devices and environments. These devices and metaphors should be target of research considering they have proven to be useful before. Moreover, the impact of the new interfa...

The applicability of Interactive Technologies (ITs) in the health area, especially in motor rehabilitation, has been a therapeutic alternative used aiming to encourage a greater patient engagement in their recovery process that is sometimes lengthy. The present study describes the technological tool (Ikapp) to support motor rehabilitation, which ai...

In general, the motor rehabilitation process can take advantage of natural interaction based systems, including measurements from patient performance to track its evolution during time and therapy direction. Thus, the aim of this research is the analysis of the use of Kinect sensor as interaction support tool for rehabilitation systems. The Kinect...