Motion analysis for optimizing processes

The working group “Scene Analysis” focuses on the optical recognition, analysis and interpretation of dynamic objects and persons as they interact with their environment. The human being is always at the center of the application. Besides human motion in general, specific movements of certain parts of the body, such as arms and hands, are also studied. The necessary data is acquired via imaging sensors, which are selected depending on the application and on the relevance of the various information for the overall scene. The sensors are deployed according to their technical capabilities (e.g. coverage, resolution, angle of aperture). The collected data is then placed in a higher-level context and processed, for example, for human-centered optimization of production processes. Quality objectives, efficiency improvements, ergonomics and employee training are possible applications.

Key areas of interest

• Implementation of data-driven User Needs Assessments D²UNA
• Activity and pose recognition for hand movements and people requires revision and inclusion of sensor data
• Assistance system for transferring expertise: DIALOG reference project
• Detection of falls and emergencies

Applications

The uses and applications are wide-ranging. The recognition of hand and arm movements - also in conjunction with the analysis of interaction with objects - is particularly suitable for assembly assistance, touch-free control or the intelligent classification of handling processes and interaction with machines. For example, person recognition is used to detect falls and emergencies, aid diagnoses or recognize emotions on the basis of typical movements of the human body.