Method for generating sensor data for the movement of a living being

EP4751238A1Pending Publication Date: 2026-06-03ROHDE & SCHWARZ GMBH & CO KG
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Patent Information

Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
ROHDE & SCHWARZ GMBH & CO KG
Filing Date
2024-07-22
Publication Date
2026-06-03

AI Technical Summary

Technical Problem

Current methods for capturing human movement, such as stereo cameras and motion capture, suffer from low precision and inability to generate complete, realistic digital models, and existing data is inadequately annotated for further processing, especially for use in artificial intelligence training.

Method used

A procedure that creates sensor data by simulating the movement of a living being using wave-based capture methods in a simulation environment, incorporating both simulated and real data, allowing for precise annotation and editing, and includes steps for model creation, augmentation, and annotation to generate realistic sensor data suitable for AI training.

Benefits of technology

The procedure produces perfectly annotated sensor data that can be used to train AI effectively, enabling the creation of realistic digital models and improving data diversity, which enhances AI performance and applicability in various fields.

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Abstract

The invention relates to a method for generating sensor data for the movement of a living being, in particular a human being, having the following steps: - providing raw data for the movement of the living being; - generating a model of the living being from the raw data; and - simulating the detection of the movement of the living being by means of a wave-based detection means using the model and / or the raw data and a simulated detection means in a simulated environment, wherein a process of generating sensor data for the movement is carried out.
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