Luiza Barboza de Souza

Performance evaluation of ambient services by combining robotic frameworks and a smart environment platform

Mobile robots and smart environments are two areas of research that can easily profit from each other. Smart environments, which are spaces unobtrusively equipped with sensors and actuators, providing ambient services to the people living within. Mobile robots inside those smart environments can use the existing infrastructure to increase their performance while decreasing the cost of local sensor systems. On the other side, evaluation of ambient services is often a laborious task. This work presents an approach that simplifies the evaluation by making use of two frameworks from robotics to perform tests in simulated smart environments. A method based on the language as action principle is used to extract realistic behavior of people living in real-world smart environments. Using this data, many different scenarios with varying configurations (different floor layouts, numbers and types of sensors, different number of people and pets) can easily be simulated and the performance of the ambient services evaluated.

TinySEP – A Tiny Platform for Ambient Assisted Living

Many AAL software platforms developed in the last years are not widely accepted outside of their projects, because of their high complexity. Moreover, many successful software frameworks are based on the thin architecture approach: they implement only basic functionality, being more flexible in practical use cases. In this work we present the Tiny Smart Environment Platform. TinySEP is a compact platform, which makes use of two approved concepts of the software engineering. It combines the benefits of complex modular platforms and proprietary monolithic solutions.

Combining robotic frameworks with a smart environment framework: MCA2/SimVis3D and TinySEP

This work describes the combination of three software frameworks from two different domains: robotics and smart environments. The two robotic frameworks MCA2 and SimVis-3D that have been in use for several years on a multitude of different robotic systems and TinySEP, a modular framework for smart environments were combined to create a win-win-situation for both roboticists and ubiquitous computing researchers. The possibilities and advantages this combination can offer are discussed, especially in situations where mobile robots and smart environments coexist next to each other. This work is concluded by an experiment that shows the feasibility and the strengths of the proposed approach.

Determinants of glycemic and blood pressure control in type 2 diabetes patients: 606 outpatients diabetes cohort.

Materials and methods 606 type 2 diabetes patients, outpatient Endocrine clinic, tertiary hospital, consecutively included between 20122014. Medical history, complete examination and laboratory evaluation performed (HbA1c, lipids, glomerular filtration rate -eGFRand urinary albumin excretion-UAE). Therapeutic targets defined according to American Diabetes Association: HbA1c <7% (<8% if comorbidities); blood pressure <140/90 mmHg, total cholesterol (TC) <200 mg/dL, HDL adjusted for gender and triglycerides (TG) <150 mg/dL. Approved by ethics committee (no 140073); statistical analysis PASW 20.0.