Abstract: A polypropylene composition (PC) being a mixed-plastic polypropylene blend, being obtainable by blending at least components a) to e): a) from 15.0 to 40.0 wt.-%, of a HECO having an MFR2 of 12 to 70 g/10 min; b) from 30.0 to 60.0 wt.-% of a mixed-plastic polypropylene blend (B) having an MFR2 of 16 to 50 g/10 min and an amount of defects with a particle size in the range from 0.05 to 0.10 mm2 in the range from 0.1 to 1.0 particles/cm2; c) from 18.0 to 25.0 wt.-% of an inorganic filler (F); d) optionally, from 0.0 to 15.0 wt.-% of a propylene homopolymer (h-PP) having an MFR2 of 50 to 200 g/10 min; and e) from 0.2 to 5.0 wt.-%, of further additive(s) (A).

Abstract: The present invention relates to a controlled-rheology polypropylene composition originating from a polypropylene composition comprising a mixed-plastics polypropylene based blend and having a melt flow rate MFR2 of at least 10 g/10 min and a volatile organic compounds (VOC) emission in the GC-MS time interval of 3.0 to 8.5 minutes of not more than 2.8 ?g/g, a process for producing such a controlled-rheology polypropylene composition, an article comprising such a controlled-rheology polypropylene composition and the use of such a controlled-rheology polypropylene composition for the production of an article comprising a mixed-plastics polypropylene based blend.

Abstract: A method for detecting body movements of a sleeping person includes continuously creating three-dimensional images using an imaging unit and providing distance measurement values pixel by pixel. A two or three-dimensional height profile has points on a surface, or on, or next to the person. The profile is stored and available for each time. A range indicating a body part or area depending on a reference point or range is selected as a first region of interest. Periods of changes of the profile of the first region exceeding a first threshold value, and intervals therebetween are determined. Noise values of the profile are determined pixel by pixel for the intervals. Further changes of the profile exceeding a second threshold value in the intervals are determined, considering the noise value pixel by pixel. The periods and further periods of changes of the profile are registered as body movements.