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  2. Head Motion Tracking Through in-Ear Wearables

    https://mobile-systems.cl.cam.ac.uk/papers/earcomp19.pdf
    11 Sep 2019: Trends inHearing, 22:2331216518814388, 2018. [6] W. R. Hamilton. Lectures on Quaternions: Containing a SystematicStatement of a New Mathematical Method. ... In Proceedings of the 4th ACM Workshop on WearableSystems and Applications, WearSys ’18, pages
  3. KDD__19_Spathis_et_al_nocopyright

    https://mobile-systems.cl.cam.ac.uk/papers/KDD19Spathis.pdf
    20 May 2019: ACM, New York, NY, USA, 9 pages.https://doi.org/10.1145/3292500.3330730. 1 INTRODUCTIONMood and general wellbeing have been associated with clinicaloutcomes. ... 8 CONCLUSIONThis paper introduces a new end-to-end, stand-alone ML modelto forecast future
  4. KDD19_ads1814p

    https://mobile-systems.cl.cam.ac.uk/papers/KDD19Zhou.pdf
    20 May 2019: ACM, New York, NY, USA,11 pages. https://doi.org/10.1145/3292500.3330781. Permission to make digital or hard copies of all or part of this work for personal orclassroom ... Unlike other recommender systems that push digital goods, e.g.e-books, news, and
  5. Understanding the Effects of the Neighbourhood Built Environment on…

    https://mobile-systems.cl.cam.ac.uk/papers/www19.pdf
    27 Feb 2019: ACM, New York, NY, USA, 11 pages.https://doi.org/10.1145/3308558.3313701. 1 INTRODUCTIONThe effects of urban neighbourhood characteristics on health out-comes of its residents is an ongoing ... This approach opens the door to new methodologies to
  6. Passive mobile sensing and psychological traits for large scale mood …

    https://mobile-systems.cl.cam.ac.uk/papers/pervasivehealth19.pdf
    20 May 2019: ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3329189.3329213. PervasiveHealth’19, May 20–23, 2019, Trento, Italy2019.
  7. What Will You Do for the Rest of the Day? An Approach to Continuous…

    https://mobile-systems.cl.cam.ac.uk/papers/imwut1819.pdf
    27 Feb 2019: This new metric provides an efective comparison between twotrajectories. • We complete the partial daily trajectory by predicting the trajectory for the remainder of the day. ... Now, assume that on Wednesday afternoon last week, the user deviated from

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