We put our lives increasingly in the hands of smart complex systems making decisions that directly affect our health and wellbeing. This is very evident in healthcare – where systems watch over your health – as well as in traffic – where autonomous driving solutions are gradually taking over control of the car. The accuracy and timeliness of the decisions depend on the systems’ ability to build a good understanding of both you and your environment, which relies on observations and the ability to reason on them.
This project will bring perception sensing technologies like Radar, LiDAR and Time of Flight cameras to the next level, enhancing their features to allow for more accurate detection of human behaviour and physiological parameters. Besides more accurate automotive solutions ensuring driver vigilance and pedestrian and cyclist safety, this innovation will open up new opportunities in health and wellbeing to monitor elderly people at home or unobtrusively assess health state.
To facilitate building the complex smart sensing systems envisioned and ensure their secure and reliable operation, the new Distributed Intelligence paradigm will be embraced, enhanced and supported by tools. It leverages the advantages of Edge and Cloud computing, building on the distributed computational resources increasingly available in sensors and edge components to distribute also the intelligence.
The goal of this project is to develop next generation smart perception sensors and enhance the distributed intelligence paradigm to build versatile, secure, reliable, and proactive human monitoring solutions for the health, wellbeing, and automotive domains
The project brings together 43 partners from 7 countries. The partners are major industrial players and prominent research centres and universities and will address top challenges in health, wellbeing, and automotive domains through three use cases: integral vitality monitoring for elderly and exercise, driver monitoring, and providing safety and comfort for vulnerable road users at intersections.
Blogs
- Robust Detection for Traffic Monitoring in Poor Visibility Conditions 18.10.2023
- Driver Activity Recognition to advance context awareness of on-the-market ADAS systems 28.8.2023
- Towards more robust vulnerable road user detection and tracking for smart infrastructure 23.8.2023
- Exploring the Landscape of Senior Health Technology Attitudes 23.8.2023
- World modelling in NextPerception and in Robotics 14.8.2023
- How automated driving technology can cope with harsh weather and support manual driving 7.8.2023
- Cross-pollination activities between CSIC and VTT for gait analysis technologies 23.3.2023
- Device Management for the Internet of Things 6.5.2022
- Communication infrastructure for patient monitoring 20.4.2022
- A Blockchain Architecture to Enhance Security in Health Monitoring Systems 20.4.2022
This project resorts under the ECSEL joint undertaking and is co-funded by the EU H2020 programme under grant agreement 876487 and national funding agencies in Belgium, Czech republic, Finland, Germany, Italy, The Netherlands and Spain.