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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:

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Body posture and position

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Dynamic
movement

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Detection and identification of different body parts

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Detection and identification of different limb parts

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Propagated data (Prediction based on current data)

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Body mass

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Volume prediction

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3D reconstruction models

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