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Improve constantly the creation of a digital twin
Technology
We develop software based algorithmic engines and specialize in developing technologies that can enhance our ability to imitate the human dynamics and improve constantly the creation of a digital twin.
Research
Our researchers focus on computer vision, motion sensors and data fusion and are able to use it both in the classical methods of signal processing but also with novel neural networks modeling and training.
We support robust human modelling by combining a strong understanding of the human body physiology together with deep learning approaches.
Data
Our engine is easily integrated to any product via API and hardware agnostic.
Data provided:

Body posture and position

Dynamic
movement

Detection and identification of different body parts

Detection and identification of different limb parts

Propagated data (Prediction based on current data)

Body mass

Volume prediction

3D reconstruction models

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