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Within the framework of the H2020 IN LIFE project we have designed and developed two ICT services related to independent living and travel that support home activities, communication, mobility and socialization. A brief overview of the Spanish pilot, in which these solutions will be tested, is presented describing the inclusion and exclusion criteria, use cases, actors, as well as the services that will be tested. The manuscript also presents the description of functionalities and characteristics of the developed ICT services.

In the past years, there has been a flourishing of platforms dedicated to Active Assisted Living (AAL) and Active and Healthy Ageing (AHA). Most of them feature as their core elements intelligent systems for the analysis of multisource and multimodal data coming from sensors of various nature inserted in suitable IoT ecosystems. While progress in signal processing and artificial intelligence has shown how these platforms may have a great potential in improving the daylife of seniors or frail subjects, there are still several technological and non-technological barriers that should be torn down before full uptake of the existing solutions. In this paper, we address specifically this issue describing the outcome and creation process of a methodology aimed at evaluating the successful uptake of existing platforms in the field of AHA. We propose a pathway (as part of an overarching methodology) to define and select for Key Performance Indicators (KPIs), taking into account an extensive amount of parameters related to success, uptake and evolution of platforms. For this, we contribute a detailed analysis structured along with the 4 main actions of mapping, observing, understanding, and defining. Our analysis focuses on Platforms, defined as operating environments, under which various applications, agents and intelligent services are designed, implemented, tested, released and maintained. By following the proposed pathway, we were able to define a practical and effective methodology for monitoring and evaluating the uptake and other success indicators of AHA platforms. Besides, by the same token, we were able to provide guidelines and best practices for the development of the next-generation platforms in the AHA domain.

Behavioral monitoring tools can be proven to be especially helpful for aging workers for whom it is of paramount importance to avoid sedentary lifestyle, decreasing the possibility to exhibit musculoskeletal, cardiovascular and other health/mental related problems, which could impede their workability and job performance. Towards this direction, we have developed an unobtrusive pervasive health monitoring framework, enabling activity and location tracking, as well as self-reporting. The collected data is used to provide meaningful health-related suggestions through a life-like Virtual Coach aiming to encourage the engagement of workers with healthy lifestyle and behaviors. In this paper, we present the design and functionality of the solution, which was implemented as a mobile app accompanied with a dashboard for data overview, and demonstrate the results of its acceptance through a conducted survey. Survey participants were asked to answer questions related to their work experience, frequency of use of technology and type of applications used, well-being and satisfaction at work as well as their data privacy concerns. Finally, the participants also answered questions about the level of acceptance of the system and the perceived usefulness. Within the survey, video demonstrations and images were included, so that the participants have the chance to receive a better understanding of solution functionality. The acceptability study was conducted with the participation of 52 people, from which 90.4% reported that they found the Virtual Coach recommendations useful, while 84.6% reported intention of using the proposed solution in their daily life. The results indicate the virtue of such tools in promoting worker well-being.