System, Method, Computer Program, and Computer-Readable Medium

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes a system and method for highly accurate, non-contact detection and tracking of surface features (such as the external 'shell') and movements of objects—especially living beings like humans—by combining two different types of sensors: a primary radar-based modality (such as a MIMO-FSK radar) and a secondary assisting modality (such as a 3D imaging sensor like a depth camera). The system fuses data from both sensors to create precise, spatially resolved images and determine movement vectors across the object's surface in real-time. The approach allows for fast measurements, high spatial resolution, and excellent motion tracking, even for complex or dynamic scenes.

Use CasesContent extracted from patent full text and abstract with AI.

• Medical diagnostics and therapeutic monitoring (e.g., patient motion analysis, gait assessment)
• Sports, fitness, and training systems for real-time biomechanical analysis and performance feedback
• Creation and animation of digital human avatars for virtual reality (VR), augmented reality (AR), and gaming
• Safety and monitoring applications (e.g., fall detection, elderly care, intrusion detection)
• Human-machine interfaces and gesture recognition in robotics or smart environments
• Industrial automation, including monitoring of worker motions and quality assurance
• Non-contact measurement of technical objects such as vehicles or robots for inspection or control

BenefitsContent extracted from patent full text and abstract with AI.

• Combines the strengths of radar (robust in various lighting and weather conditions, can see through materials like clothing) and optical 3D sensors (high spatial resolution)
• Enables high-speed, real-time tracking of both position and movement vectors across an object's surface
• Reduces processing time and computational requirements by limiting radar reconstruction to relevant regions identified by the 3D sensor
• Provides both geometric data and distributed motion information, surpassing conventional sensor limitations
• Adaptable to various sensor modalities and applicable to both living beings and technical objects
• Improves accuracy and robustness of motion analysis by sensor fusion and advanced data processing (e.g., Kalman filters)
• Allows for non-contact measurement (hygienic, suitable for sensitive scenarios)

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Patent Abstract

The invention relates to a system for ascertaining a feature of an object. The system comprises a primary module, an assisting module, and a controller, wherein the primary and the assisting module are designed to carry out a respective detection of the feature, generate measurement data with respect to the feature, communicate with the controller which is designed for this purpose, be actuated by the controller which is designed for this purpose, and transmit the measurement data to the controller which is designed for this purpose. The controller has means which are designed to actuate the primary module such that the measurement data generated by the assisting module is taken into consideration, and the controller has means which are designed to ascertain the feature of the object from the totality or from a part of the totality of the generated measurement data.