The goal of Age-SenseAI is to develop an innovative sensory ecosystem in the home environment, targeting older people living in multi-resident settings and their caregivers (caregivers), for the measurement of residents' comfort and activities. Through these measurements, it is possible to identify changes in people's behaviors, Activities of Daily Living (ADLs), and risk factors, such as falls or diseases that arise due to the conditions of the environment, and consequently improve the well-being and health status of the elderly. In particular, Age-SenseAI aims to go beyond the state of the art by realizing an ecosystem suitable for living environments where multiple people live together
October 2024 – April 2025
The Age-SenseAI – Sensing and AI techniques for ageing well project launched and developed the activities of WP1, WP2, WP3 and WP5. WP1 involved coordination between partners (UNIVPM, UniME, P.M.F.), monitoring of activities and a first progress report (D1, 40%). In WP2, through a co-design process (questionnaires to experts and caregivers), two use cases were defined for monitoring activities and comfort in multi-resident contexts, and a wide range of non-invasive sensors (environmental, wearable, ad hoc developed Active Badge, ultrasound, stereoscopic cameras, Leonardo tags, Temi robots, AR headsets, sleep sensors and home automation), with a prototype under development (D2, 50%). In WP3, the data architecture for the platform was defined, based on MQTT/REST protocols, Mosquitto servers, MongoDB/AWS databases, Docker containers and authentication keys, with preliminary implementation to test acquisition, AI analysis and alert generation (D3, 20%). In WP5, demographic and market scenario analyses were carried out, international players and technological barriers were identified, and focus groups and dissemination and communication strategies were planned. The activities are progressing without any significant issues, with final milestones still to be completed by 2025.