@misc{15953,
  keywords = {Machine learning, artificial intelligence, Sports performance logging, algorithmic analysis, privacy-preserving data collection},
  author = {Khiet Truong and Dirk Heylen and Mary Czerwinski and Nadia Berthouze and Mohamed Chetouani and Mikio Nakano and H{\r a}vard Johansen and Dag Johansen and Tomas Kupka and Michael Riegler and P{\r a}l Halvorsen},
  title = {Scalable Infrastructure for Efficient Real-Time Sports Analytics},
  abstract = {Recent technological advances are adapted in sports to improve performance, avoid injuries, and make advantageous decisions. In this paper, we describe our ongoing efforts to develop and deploy PMSys, our smartphone-based athlete monitoring and reporting system. We describe our first attempts to gain insight into some of the data we have collected. Experiences so far are promising, both on the technical side and for athlete performance development. Our initial application of artificial-intelligence methods for prediction is encouraging and indicative.},
  year = {2020},
  journal = {Companion Publication of the 2020 International Conference on Multimodal Interaction},
  publisher = {ACM},
  address = {New York, NY, USA},
  isbn = {9781450380027},
  url = {https://dl.acm.org/doi/proceedings/10.1145/3395035https://dl.acm.org/doi/10.1145/3395035.3425300https://dl.acm.org/doi/pdf/10.1145/3395035.3425300},
  doi = {10.1145/339503510.1145/3395035.3425300},
}