Hinweise zum Einsatz der Google Suche
Personensuchezur unisono Personensuche
Veranstaltungssuchezur unisono Veranstaltungssuche
Katalog plus

IBSync: Intra-body synchronization and implicit contextualization of wearable devices using artificial ECG landmarks

Florian Wolling and Kristof Van Laerhoven


With IBSync we have presented a novel method for the intentional or incidental synchronization as well as the implicit contextualization of wearable devices by touching, approaching, or passing certain areas, surfaces, or objects. Those are equipped with an embedded transmitter beacon that capacitively induces artificial landmark signals into the user’s body. Because no off-the-shelf intra-body communication transceivers are available, the analog ECG front-ends of commercial wearable devices have been repurposed. Those are carefully designed regarding their energy efficiency and the sensitive detection of tiny signals on the human skin. With a synchronization error of 0.80±1.79 samples, or 6.25±14.00 ms at a sampling rate of 128 Hz, we outperformed motion-based offline synchronization methods with a typical error in the order of 250 down to 46 ms.
The provided data, which our evaluation is based on, contains measurements from three experiments: 1) ambient noise captured by the ECG AFEs; 2) measurements from a controlled setting to evaluate the optimal parameters and the system’s performance a) directly touching the electrode, b) touching the desktop, and c) leaning back in the office chair; 3) measurements from an everyday life setting, demonstrating the feasibility and applicability in-the-wild.


The recorded measurements can be downloaded via the following link:


IBSync: Intra-body synchronization and implicit contextualization of wearable devices using artificial ECG landmarks, Florian Wolling and Kristof Van Laerhoven. Frontiers in Computer Science, 4, 2022. [pdf][scholar][bibtex][doi]


You may use this data for scientific, non-commercial purposes, provided that you give credit to the owners when publishing any work based on this data. We would also be very interested to hear back from you if you use our data in any way and are happy to answer any questions or address any remarks related to it.