WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization

Dimitrios Panteleimon Giakatos, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali. WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom 2022 Workshops, Pisa, Italy, March 21-25, 2022. pages 76-78, IEEE, 2022. [doi]

@inproceedings{GiakatosYEV22,
  title = {WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization},
  author = {Dimitrios Panteleimon Giakatos and Sofia Yfantidou and Stefanos Efstathiou and Athena Vakali},
  year = {2022},
  doi = {10.1109/PerComWorkshops53856.2022.9767462},
  url = {https://doi.org/10.1109/PerComWorkshops53856.2022.9767462},
  researchr = {https://researchr.org/publication/GiakatosYEV22},
  cites = {0},
  citedby = {0},
  pages = {76-78},
  booktitle = {2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom 2022 Workshops, Pisa, Italy, March 21-25, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-1647-4},
}