Approach to clustering: we used the implementation of the XMeans algorithm implemented in WEKA with the option of a minimum of four clusters. Columns: 1) Identifier: --> 2XXX Dateset ID (2=MMSys, 3=UMA, 4=MiBShar, 5=SisFall) --> X001 Subject number 2) Size in cm 3) Age in years 4) Weight in kg 5) Gender: M = male, F = female 6) BMI value; used formula: BMI = weight in kg / (size in meter)^2 7) BMI class: --> BMI < 18,5 -> 1 --> BMI = 18,5-23 -> 2 --> BMI = 23-25 -> 3 --> BMI = 25-30 -> 4 --> BMI > 30 -> 5 8) Cluster: result of the clustering algorithm