PMData: A sports logging dataset
Vajira Lasantha Thambawita, Steven Alexander Hicks, Hanna Borgli, Svein Arne Pettersen, Håkon Kvale Stensland, Debesh Jha, Dag Johansen, Håvard D. Johansen, Tomáš Kupka, Tor‐Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Andreas Biørn-Hansen, Duc‐Tien Dang‐Nguyen, Hugo L. Hammer, Ramesh Chandra Jain, Michael Alexander Riegler, Pål Halvorsen · 2020
In this paper, we present PMData: a dataset that combines traditional lifelogging data with sports-activity data. Our dataset enables the development of novel data analysis and machine-learning applications where, for instance, additional sports data is used to predict and analyze everyday developments, like a person's weight and sleep patterns; and applications where traditional lifelog data is used in a sports context to predict athletes' performance. \datasetname combines input from Fitbit Versa 2 smartwatch wristbands, the PMSys sports logging smartphone application, and Google forms. Logging data has been collected from 16 persons for five months. Our initial experiments show that novel analyses are possible, but there is still room for improvement.