Nguyen, NguNguNguyenJähne-Raden, NicoNicoJähne-RadenKulau, UlfUlfKulauSigg, StephanStephanSigg2021-11-092021-11-092018-10-08IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018: 8480412, 508-511 (2018-10-02)http://hdl.handle.net/11420/10841The emergence of on-body gadgets has introduced a novel research direction: unobtrusive and continuous device pairing. Existing approaches leveraged contextual information collected by sensors to generate secure communication keys. The secret information is represented throught hand-engineered features. In this paper, we propose a learning method based on Siamese neural networks to extract features that signify on-body context while separating off-body devices.enTechnikConference Paper10.1109/PERCOMW.2018.8480412Other