CAISR Intelligent Environment
Supporting research and education
| CAISR Intelligent Environment | |
| Project start: | |
|---|---|
| 1 January 2014 | |
| Project end: | |
| 31 December 2019 | |
| More info (PDF): | |
| Contact: | |
| Anita Sant'Anna | |
| Application Area: | |
| Health Technology | |
Involved internal personnel
| |
| |
Involved external personnel
| |
Involved partners
| |
Abstract
The CAISR Intelligent Environment is platform for demonstrating and showcasing CAISR research; implementing and testing new technologies in a realistic environment; supporting data collection and validation of research hypotheses; as well as providing a functional infrastructure for student projects.
The intelligent environment acquires diverse information about a person’s activities and health, using a number of distributed fixed and mobile sensors. This data can be analyzed with the help of aware intelligent systems in order to understand a situation and its context, assess the person’s health and wellbeing, support decision-making, detect sudden or slow deviations, provide appropriate services in emergency situations.
Research projects
- Situation Awareness for Ambient Assisted Living – Jens Lundström
- A Database-Centric Architecture for Home-Based Health Monitoring – Wagner O. de Morais
- Impulse Radar in Health Applications – Magnus Hållander
Student projects
- Mobile Social Robots for healthcare – Matthias Mayer (BSc)
- Tracking more than one person in a smart environment using fixed sensors and a mobile social robot – Jianyuan Ma & Yinan Qiu (MSc)
- First response to emergency situation in a smart environment using a mobile social robot – Gloria Lazzaro (MSc)
- A self-aware robot which can find a mirror in a home, detect anomalies in part of its appearance, and fix them – Yinrong Ma (MSc)
- Awareness of health state of an unconscious fallen person toward enabling robotic first aid – Tianyi Zhang & Yuwei Zhao (MSc)
- Courteous robot guide for visitors to an intelligent home – Jiamiao Guo & Yu Zhao (BSc)
- Assistance-seeking strategy for a flying robot during a healthcare emergency response – Jérémy Heyne (BSc, visiting from Polytech Clermont, France)
- Detecting Points of Interest for Robotic First Aid – Wolfgang Hotze (MSc, also enrolled at graduate school in Salzburg, Austria)
