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This article describes an approach to detect the wearing location of smartdevices worn by pedestrians and cyclists. The detection, which is based solelyon the sensors of the smart devices, is important context-information which canbe used to parametrize subsequent algorithms, e.g. for dead reckoning orintention detection to improve the safety of vulnerable road users. The wearinglocation recognition can in terms of Organic Computing (OC) be seen as a steptowards self-awareness and self-adaptation. For the wearing location detectiona two-stage process is presented. It is subdivided into moving detectionfollowed by the wearing location classification. Finally, the approach isevaluated on a real world dataset consisting of pedestrians and cyclists.

Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users