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to address these challenges by simplifying pro-
cedures, making the technology more accessible
and cost-effective for widespread use.
One of the key outcomes from the initial experi-
ments with Smart Floors is the collection of data
on fall events and ordinary daily activities from
a sensor-equipped floor. This dataset is high-
ly valuable, as it represents the first of its kind,
providing unique insights into human movement
patterns. Such data holds significant potential
across various fields, from healthcare – where it
can aid in fall prevention and mobility assess-
ments – to the gaming industry, where it could
enhance motion-based interactions and experi-
ences.
Future plans focus on advancing the technolo-
gy by refining sensor accuracy and enhancing
AI-driven analytics, while also expanding its ap-
plications beyond fall detection. Potential areas
The first adoption of the technology was primar- of growth include integration into smart home
ily intended for research focused on detecting systems for continuous monitoring and support,
falls among elderly individuals, as falls are the as well as broader use in healthcare facilities for
most common form of injury for seniors aging at patient tracking and safety management. This
home or in homes for the elderly. In addition to development aims to make the presented tech-
fall detection, Smart Floors can recognise other nology more versatile and impactful across var-
activities such as sitting, walking, and movement, ious industries.
as well as location and step counting. Future plans focus on advancing the technolo-
Artificial intelligence is employed to identify these gy by refining sensor accuracy and enhancing
patterns, leveraging machine learning algorithms AI-driven analytics, while also expanding its ap-
to improve accuracy and adaptability over time. plications beyond fall detection. Potential areas
This enables fast and reliable data processing, of growth include integration into smart home
ensuring that activity recognition becomes more systems for continuous monitoring and support,
precise as the system learns from user behaviour. as well as broader use in healthcare facilities for
patient tracking and safety management. This
Two major challenges have been identified: high development aims to make the presented tech-
production costs and the complexity of the in- nology more versatile and impactful across var-
stallation process. Efforts are currently underway ious industries.
2024 projekti/projects 51
