Teseo interview

Could you give us a brief description of your start-up and explain the reasons that led you to establish it up?

Teseo was born as a spin-off of the Computer Science , Bioengineering, Robotics and Systems Engineering Department of the University of Genoa, after a multi-year research activity in the  Ambient Assisted Living field, applied to the elderly care, carried out by prof. Fulvio Mastrogiovanni and his team. The goal is to put robotics and AI at the service of the elderlies as allies in prevention and active aging. The life expectancy of the world population has increased and will continue to increase in the coming years, so the scenario that awaits us is that population over 65 showing a general good health and semi-autonomy, whose lifestyle requires a delicate balance between care and guarantee of safety and independence.

With its design, focused on the people and their needs, Kibi (our product) wants to be the reference point to ensuring independence and well-being to the client through a non-intrusive coaching and a careful monitoring of their needs, personalized on their habits. In addition Kibi can facilitate the work of caregivers. The idea of ​​remote security and assistance can expand its boundaries, trying to achieve an effective balance between care and independence.


How does your health monitoring system for elderly work and how, in case of anomalous situations, does it directly notify to family members or health facilities?

Kibi, through the combined function of a smartwatch and some sensors distributed in a closed space, is able to collect data relating to the position and movements of a person; moreover, thanks to a series of Machine Learning and Artificial Intelligence techniques in cloud, it is able to recognize and learn the user’s habits, making it easy to detect any negative trends.

This is based on ADL, Activities of Daily Living, according to standard definitions of daily activities used by geriatricians, to determine a person’s level of independence.

Its user-friendly interface, through the use of intuitive and easy to read graphics, allows an effective and fast exchange of relevant information. For example, an elderly person, tends to drink less, since the stimulus of thirst decreases during aging: our device is able to detect when the person is drinking less than usual, reporting the trend on a graph showing the changes over time, to make significant data accessible to caregivers.

Furthermore, in the event a fall is detected by the system, Kibi is able to send an immediate alarm notification to the caregiver on all his devices – smartphone, tablet or computer – allowing he/she to always have the situation under control and take immediately the proper actions in case of emercency.

In questo sito web utilizziamo cookie di prima o di terza parte che memorizzano cookie sul tuo dispositivo. Hai il diritto di scegliere se abilitare o meno i cookie statistici e quelli di terze parti. Abilitandoli ci permetti di offrirti un'esperienza completa, mostrandoti tutti i contenuti; non abilitandoli, alcune parti nel sito non potranno essere visibili (mappe e video, ad esempio). Policy

Some contents or functionalities here are not available due to your cookie preferences!

This happens because the functionality/content marked as “%SERVICE_NAME%” uses cookies that you choosed to keep disabled. In order to view this content or use this functionality, please enable cookies: click here to open your cookie preferences.