• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for teknologi, kunst og design (TKD)
  • TKD - Institutt for informasjonsteknologi
  • View Item
  •   Home
  • Fakultet for teknologi, kunst og design (TKD)
  • TKD - Institutt for informasjonsteknologi
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

PMData: a sports logging dataset

Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål
Conference object
Published version
Thumbnail
View/Open
PMData_+A+Sports+Logging+Dataset.pdf (717.9Kb)
URI
https://hdl.handle.net/10642/9636
Date
2020-05-27
Metadata
Show full item record
Collections
  • TKD - Institutt for informasjonsteknologi [860]
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/10.1145/3339825.3394926
Abstract
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.
Publisher
Association for Computing Machinery (ACM)
Series
MM: International Multimedia Conference;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit