PRESLEEP “A wearable CPS for the automatic detection and prediction of the awake, drowsiness and sleeping stages”
Sleep medicine is a medical specialty focused on the analysis, diagnosis and therapy of sleep disturbances and disorders and, more generally, about awake-drowsiness-sleep functioning. A very innovative approach focused on the early detection of drowsiness and, more generally, about fatigue and tiredness, has been developed by Sleep Advice Technologies (SAT).
The methodology is based on the non-invasive real-time measurement of a reduced set of physiological parameters, thus supporting the automatic detection and prediction of awake, drowsiness and sleeping stages through modern Artificial Intelligence techniques.
The real time detection and prediction algorithm has been implemented into a wearable CPS prototype featuring a rich set of communication channels as well as GPS functionality. A very important aspect of the project is related to the capability of the proposed methodology/technology to detect additional high level emotional stages of the drivers (e.g. stress, anxiety, etc..) which can support the development of advanced control strategies for automated vehicle at AVL.
The implemented system integration Application Experiment, run in tight cooperation with AVL, accelerates the development process toward the most effective technological transfer into a successful mass market product.
The “System integration Application Experiment” covers HW/SW integration and access enablement to both the Integrated and Open Development Platform (AVL) and the complementary skills from the competence centre (AVL).
The outcome of PRESLEEP project is an integrated CPS prototype demonstrator verified and validated in realistic conditions at AVL.
A wearable CPS based on a flexible and modular architecture has been successfully developed, bridging health and transportation domains by fully developing an exclusive methodology and the related CPS technology that can be successfully applied in a wide range of applications in the respective domains. Through the support of AVL, this system integration focused on the fine assessment and validation of the proposed methodology/technology in a realistic automotive environment.
The societal impact is expected to be very relevant as SAT product aims at drastically improve the quality of life by reducing the amount of risky situations due to loss of control of the subject while performing an action.