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This deliverable report examines the outcome of the construction of functional or partly functional prototypes or mock-ups of Personalized Interior Intelligent Environment Units (PI²Us) for demonstration and testing purposes, associated with Task T5.4. The first part of this document will give an overview of the relation of this task to other tasks of WP5, other work packages, and the larger framework of the REACH project. The second part sets out the details of the progressive development from early concepts to the current prototyping stage. Moreover, the subsequent lab-based testing is described in the third part of the report. This includes both already carried out and planned testing activities for either early stage validation or final demonstration in a naturalistic test environment. Finally, part four summarizes the results and puts the different prototypes in perspective to the respective touchpoints and the overall REACH engine functionality. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690425.
The world’s population is aging at an unprecedented pace. Aging society is not only a severe crisis in the developed world such as Germany and Japan, but also a rigorous challenge in emerging economies such as China. Many age-related diseases are fostered by the lack of physical, cognitive, and social activities. Increasing the activity level has many benefits for the elderly and can improve their independence. The research project REACH (funded by European Union’s Horizon 2020 Research and Innovation Program under grant agreement No. 690425) aims to develop a service system that will turn clinical and care environments into personalized modular sensing, prevention, and intervention systems that encourage the elderly to become healthy through activities (e.g., physical, cognitive, socializing, personalized food, etc.). As a core research partner, the Chair of Building Realization and Robotics at Technical University of Munich developed a series of Personalized Intelligent Interior Units (PI²Us), which are a special type of smart furniture, that materialize the REACH concepts and functionality seamlessly into the different REACH use case settings. Specifically, the design and functions of the PI²Us, which consist of the PI²U-SilverArc, PI²U-MiniArc, PI²U-Bed, and PI²U-iStander, will be described in detail. In addition, a modular apartment integrating all PI²Us and key technologies in REACH is designed and simulated to create a total interior living and care environment for elderly users. Due to its modularity, parts of the apartment can be easily adapted and rapidly deployed in different REACH use case settings in four European countries, which will then help the REACH consortium execute a series of testing activities. In conclusion, this research project provides a systematic and innovative example for the world to mitigate the impact of aging society.
Deliverable D32: Detailed set of privacy guidelines and schemata Responsive Engagement of the Elderly promoting Activity and Customized Healthcare 2 Deliverable D32: Detailed set of privacy guidelines and schemata: Summarization of the outcome of the development of necessary data privacy and security schemata to (1) protect sensed data; (2) ascertain computational anonymity; (3) ensure privileged intervention access (associated with task T.7.5). Abstract: This deliverable report examines the outcomes of the REACH research project with regard to data privacy and data security, associated with Task T7.5. This document gives an overview of our analyses involving ethics and privacy concerns in terms of the individual touchpoints and shows how these findings guided the project towards the determination of the medical purpose and intended use-cornerstones to on the path to market entry. In addition, we provide a brief overview of how the guidelines regarding data protection and encryption influenced the technical design and implementation of project components. Furthermore, we provide an update on the management of legal implications (and the implications resulting from this for system requirements and business strategy) of the use of machine learning and artificial intelligence in the context of REACH solutions, incorporating an external expert opinion. Finally, this deliverable report contains a summary of our approach towards risk gov-ernance and standardization in this regard: our work in REACH on privacy and security schemata, culminated in a CEN Workshop Agreement (guideline) that generalizes REACH outcomes and makes them accessible and usable beyond the REACH consortium .
In REACH, WP6 focusses on systems engineering and testing aspects such as system integration, verification, validation, and optimization. The presented Deliverable (associated with Task T6.2) provides a presentation/demonstration of the executed trials including different partner groups in different use case settings. It is worth mentioning that since this deliverable report has a nature of “Demonstrator”, this document tries to show the implemented trials. Therefore, it was tried to integrate as many pictures as possible to prove the trials. This deliverable report targets mainly the Touchpoints TP1, TP2 and TP3. This is decided due to the person months of the partners involved in this task. In these trials the partners addressed a pre-integration of sub modules involved in the future REACH presentation. Additionally, this deliverable discusses the trials from the first step which is the planning and execution, then to the execution/implementation and then to analysis and studying the results. Furthermore, using these trials the deficiencies and shortcomings were identified in these lab experimentations. Early detection of shortcomings and deficiencies will lead to simplified implementation and adjustment before reaching the final testing and integration stages. At the current time, the partners are already planning and preparing for the future tests/trials at the use case settings sites. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690425.
The world’s population is aging at an unprecedented pace. Aging society is not only a severe crisis in the developed world, but also a rigorous challenge in emerging economies. Many age-related diseases are fostered by the lack of physical, cognitive, and social activities. Increasing the activity level has many benefits for the elderly and can improve their independence. Based on the analysis of the state-of-the-art and shortcomings of the current smart home solutions, the EU-funded research project REACH aims to develop a service system that will turn clinical and care environments into personalized modular sensing, prevention, and intervention systems that encourage the elderly to become healthy through various activities. To achieve that goal, the research team developed a series of smart furniture (PI2Us) that materialize the research concepts and functionality seamlessly into the various environments. Specifically, the development process and the functionality testing results of the PI2Us are reported in detail. In addition, a simulated smart home solution concept (TRACK) integrating key assistive technologies developed is proposed to create a comprehensive interior living and care environment for elderly users. Due to its modularity and flexibility, the partial or entire solution can be easily adapted and rapidly deployed in different use case settings in Europe, which allows the project consortium to execute different testing activities. In the next phase, the research team will focus on enhancing the usability and performance of the prototypes in order to eventually push them to the market. In conclusion, this research provides an innovative smart home solution for the industry to mitigate the impact of aging society.