Detecting Anxiety Trends Using Wearable Sensor Data in Real-World Situations

Marissa Gray, Shweta Majumder, Kate Nelson, Reshma Munbodh. Detecting Anxiety Trends Using Wearable Sensor Data in Real-World Situations. In Juliana Bowles, Giovanna Broccia, Roberto Pellungrini, editors, From Data to Models and Back - 10th International Symposium, DataMod 2021, Virtual Event, December 6-7, 2021, Revised Selected Papers. Volume 13268 of Lecture Notes in Computer Science, pages 107-117, Springer, 2021. [doi]

@inproceedings{GrayMNM21,
  title = {Detecting Anxiety Trends Using Wearable Sensor Data in Real-World Situations},
  author = {Marissa Gray and Shweta Majumder and Kate Nelson and Reshma Munbodh},
  year = {2021},
  doi = {10.1007/978-3-031-16011-0_8},
  url = {https://doi.org/10.1007/978-3-031-16011-0_8},
  researchr = {https://researchr.org/publication/GrayMNM21},
  cites = {0},
  citedby = {0},
  pages = {107-117},
  booktitle = {From Data to Models and Back - 10th International Symposium, DataMod 2021, Virtual Event, December 6-7, 2021, Revised Selected Papers},
  editor = {Juliana Bowles and Giovanna Broccia and Roberto Pellungrini},
  volume = {13268},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16011-0},
}