If you are a warehouse automation provider dealing with worker safety and movement tracking — this project developed RF-based 3D vision and tracking that monitors activity without using invasive cameras. This allows for automated logistics while respecting EU data protection rights.
Privacy-First Radio Sensing for Human Tracking and Gesture Recognition
Imagine a camera that can see people and their movements but doesn't actually use a lens or record images. Instead, it uses radio waves to 'feel' the room, similar to how a bat uses sonar. This project makes sure this technology respects your privacy by building the 'blind spots' and ethical rules directly into the hardware and software.
What needed solving
Current sensing technologies for gestures and movement often rely on cameras or invasive sensors that violate user privacy and EU data laws. Businesses need a way to track activity and provide personalized services without collecting identifiable visual data.
What was built
A distributed multi-antenna system and three processing paths: holographic RF image processing, 3D beamforming for body-scale tracking, and high-dimensional tensor processing for activity recognition.
Who needs this
Who can put this to work
If you are a home automation manufacturer dealing with user privacy concerns regarding indoor sensors — this project developed a system for free-space gesture interaction that is private by design. It enables personalized smart living services without compromising the user's fundamental right to data protection.
If you are an elderly care tech startup dealing with the need to monitor falls or movements without installing cameras in private rooms — this project developed high-dimensional tensor processing to distinguish complex activities from RF data. This provides a non-invasive way to ensure patient safety.
Quick answers
What is the cost or pricing for this technology?
Based on available project data, there is no information regarding the cost or pricing of the developed systems.
Can this be deployed at an industrial scale?
The project focuses on developing the algorithms and concepts for distributed multi-antenna systems. Based on available project data, it is currently in the research and development phase rather than full industrial scale.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not provided, though the project is funded under HORIZON-EIC.
Does this comply with EU regulations?
Yes, the project specifically implements Article 8 of the Charter of Fundamental Rights of the EU and GDPR to ensure personal data protection.
What is the timeline for market availability?
The project period runs from 2023-06-01 to 2026-05-31, suggesting that results will be finalized by mid-2026.
Who built it
The consortium consists of 7 partners across 5 countries (CZ, DE, FI, IT, NL). It is heavily academic, with 4 universities and 2 research institutes, while industry representation is low at 14% (1 industry partner). This suggests the output is primarily high-level technical research and algorithmic development rather than a commercial product.
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