Work related rehabilitation underwent a continuous change within the past years. Due to changes in social security statutes, the current german health system aims towards a thorough rehabilitation to foster social and work related participation of people with disabilities. For a good design of work related rehabilitation and a reliable return-to-work prediction, it is necessary to analyze the targeted workplace as well as the current abilities of the worker. These profiles need to be evaluated in a comparative assessment. There are several nationally recognized methods available, for example functional capacity evaluation or profile matching tools. Functional capacity evaluation methods offer a good estimation of the workers abilities, but some of the results depend on subjective grading of the rater. Especially the rating of commitment is a major challenge in this context. Further, no standardized report or workflow to submit the work related information is extensively available. The presented work therefore focusses on the development of a digital system to assist occupational professionals as well as health care professionals and therapists.
As a feasibility analysis, a three dimensional time-of-flight based depth camera was used as a markerless motion capturing device, with self-written software. Body posture, joint center coordinates and motion trajectories were used for subsequent calculations.
The system was evaluated in an industrial environment as well as in a laboratory setting. The main objectives were:
Methods and results are presented and discussed with focus on the judgement of eligibility for a productive use of the system in industrial environments and professional occupational rehabilitation.
Please download the complete report "Development of a method for the digital evaluation of body postures and movement patterns" (in German).
Entwicklung eines Verfahrens zur digitalen Erfassung von Körperhaltungen und Bewegungsmustern.
1. edition. Dortmund: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin 2019. pages 128, paper, PDF file, DOI: 10.21934/baua:bericht20190301
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