Jó Ágila Bitsch

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Automatic emotion recognition is an interdisciplinary research field which deals with the algorithmic detection of human affect, e.g. anger or sadness, from a variety of sources, such as speech or facial gestures. Apart from the obvious usage for industry applications in human-robot interaction, acquiring the emotional state of a person automatically also(More)
Accelerometer and inclinometer are inertial sensors capable of measuring corresponding magnitude of Earth gravitational field along the direction of each axis. By means of rotation matrices related to inertial navigation methods, the output values of a three-dimensional accelerometer or a two-dimensional inclinometer can be transformed and processed into(More)
The goal of our project is to describe the behavior of rats. For this purpose we are using wireless sensor networks, monitoring various quantities that yield important information to complement current knowledge on the behavioral repertoire of rats. So far, on the sensing and processing side we have developed innovative, minimalist approaches pointing in(More)
Depression is the most prevalent clinical disorder and one of the main causes of disability. This makes early detection of depressive symptoms critical in its prevention and management. This paper presents and discusses the development of Psychologist in a Pocket (PiaP), a mental mHealth application for Android which screens and monitors for these symptoms,(More)
In this paper we present our ongoing work on modular communication protocols for sensor networks. Their modularity allows recomposing a protocol dynamically at runtime and adapting it to the changing needs of a sensor network. Compared to existing work, our componentization is fine grained and protocol independent, enabling a high degree of component(More)
Many protocols in low-power wireless networks require a leader to bootstrap and maintain their operation. For example, Chaos and Glossy networks need an initiator to synchronize and initiate the communication rounds. Commonly, these protocols use a xed, compile-time de ned node as the leader. In this work, we tackle the challenge of dynamically(More)
The softwarization of networks provides a new degree of flexibility in network operation but its software components can result in unexpected runtime performance and erratic network behavior. This challenges the deployment of flexible software functions in performance critical (core) networks. To address this challenge, we present a methodology enabling the(More)
Bringing brain research tools like EEG devices out of the lab into the pockets of practitioners and researchers may fundamentally change the way we perform diagnostics and research. While most of the current techniques are limited to research clinics and require excessive set-up, new consumer EEG devices connected to standard, off-the-shelf mobile devices(More)
Smartphones are an important target platform for research and development of indoor localization solutions. Due to the large diversity of smartphone hardware and OS services, making general statements about the performance of indoor localization algorithms in different environments remains very challenging. In this work we present a comprehensive repository(More)
BACKGROUND Language reflects the state of one's mental health and personal characteristics. It also reveals preoccupations with a particular schema, thus possibly providing insights into psychological conditions. Using text or lexical analysis in exploring depression, negative schemas and self-focusing tendencies may be depicted. As mobile technology has(More)