PMData: a sports logging dataset
Original version
Thambawita V, Hicks S, Borgli H, Stensland H, Jha D, Svensen MK, Pettersen SA, Johansen D, Johansen HJ, Pettersen SD, Nordvang S, Pedersen S, Gjerdrum AT, Grønli TMG, Fredriksen PM, Eg R, Hansen KSH, Fagernes S, Claudi C, Biørn-Hansen A, Dang Nguyen DT, Kupka T, Hammer HL, Jain R, Riegler M, Halvorsen P: PMData: a sports logging dataset. In: Alay OA, Toni L. MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, 2020. Association for Computing Machinery (ACM) p. 231-236 https://doi.org/10.1145/3339825.3394926Abstract
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. PMData 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.