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The European population will steadily be growing older in the following decades. At the same time, the risk of  getting dementia increases with higher age. Both these factors are apt to cause serious problems for the society,  especially with regard to the caring sector, which also suffers from the lack of qualified personnel. As technical  support systems can be of assistance to medical staff and patients, a mobility assessment system for demented  people is presented in this paper. The grade of mobility is measured by means of the personâs pose and  movements in a monitored area. For this purpose, pose estimation and movement detection algorithms have  been developed. These process 3-D data, which are provided by an optical stereo sensor installed in a living  environment. In order to train and test a discriminative classifier a variety of labelled training and test data  was recorded. Moreover, we designed a discriminative and universal feature vector for pose estimation. The  experiments demonstrated that the algorithms work robustly. In connection with a human machine interface,  the system facilitates a mobilisation as well as a more valid assessment of the patientâs medical condition than  it is presently the case.

Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living