The ShakeCast and ShakeTrack projects investigated how acceleration data recorded during a handshake with wrist- and finger-mounted sensors can be used to create a secure ad-hoc peer-to-peer connection between the participants. The link was used to transfer contact information between two interacting users, while data transfer itself was encoded with the recorded motion signal of the shared greeting gesture.


Weißker, T., Genc, E., Berst, A., Schreiber, F. D., & Echtler, F. (2017, September). ShakeCast: using handshake detection for automated, setup-free exchange of contact data. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-8). (PDF)

Berst A., (2018, Februar). ShakeTrack - Comparing sensor locations for acceleration based handshake matching. Masterthesis (PDF)

The acceleration data recorded during the ShakeTrack Study published on github


  • Jun.-Prof. Dr. Florian Echtler (Supervisor)
  • Andreas Berst (Contributor: Software, Hardware, Testing, Documentation)
  • Erdan Genc (Contributor: Software, Testing, Documentation)
  • Frederik Schreiber (Contributor: Software, Testing, Documentation)
  • Tim Weißker (Contributor: Software, Testing, Documentation)