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PMData: a sports logging dataset

MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference

Pages 231 - 236

https://doi.org/10.1145/3339825.3394926

Published: 27 May 2020 Publication History

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.

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Cited By

Fresta MBellotti FCapello ADabbous ALazzaroni LAnsovini FBerta R(2024)End-to-End Dataset Collection System for Sport ActivitiesElectronics10.3390/electronics1307128613:7(1286)Online publication date: 29-Mar-2024
https://doi.org/10.3390/electronics13071286
Moen FPettersen SMosleth E(2024)The effect of electro-magnetic-energy-regulation therapy on subjective sleep among elite players in Norwegian women's footballFrontiers in Sports and Active Living10.3389/fspor.2024.13438416Online publication date: 1-Aug-2024
https://doi.org/10.3389/fspor.2024.1343841
陈亮(2024)A Lifelog Management Model Based on EventsComputer Science and Application10.12677/CSA.2024.14100514:01(29-40)Online publication date: 2024
https://doi.org/10.12677/CSA.2024.141005
Show More Cited By

Index Terms

PMData: a sports logging dataset
1. Applied computing
  1. Life and medical sciences
    1. Health informatics
2. Computing methodologies
  1. Machine learning

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Published In

cover image ACM Conferences

MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference

May 2020

403 pages

ISBN:9781450368452

DOI:10.1145/3339825

General Chairs:
Laura Toni
University College London
,
Ali C. Begen
Ozyegin University and Networked Media
,
Program Chairs:
Özgü Alay
University of Oslo and Simula Metropolitan
,
Christian Timmerer
Alpen-Adria-Universität Klagenfurt and Bitmovin

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 27 May 2020

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MMSys '20: 11th ACM Multimedia Systems Conference

June 8 - 11, 2020

Istanbul, Turkey

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MMSys '20 Paper Acceptance Rate 18 of 55 submissions, 33%;

Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

Fresta MBellotti FCapello ADabbous ALazzaroni LAnsovini FBerta R(2024)End-to-End Dataset Collection System for Sport ActivitiesElectronics10.3390/electronics1307128613:7(1286)Online publication date: 29-Mar-2024
https://doi.org/10.3390/electronics13071286
Moen FPettersen SMosleth E(2024)The effect of electro-magnetic-energy-regulation therapy on subjective sleep among elite players in Norwegian women's footballFrontiers in Sports and Active Living10.3389/fspor.2024.13438416Online publication date: 1-Aug-2024
https://doi.org/10.3389/fspor.2024.1343841
陈亮(2024)A Lifelog Management Model Based on EventsComputer Science and Application10.12677/CSA.2024.14100514:01(29-40)Online publication date: 2024
https://doi.org/10.12677/CSA.2024.141005
Isasa IHernandez MEpelde GLondoño FBeristain ALarrea XAlberdi ABamidis PKonstantinidis E(2024)Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesisBMC Medical Informatics and Decision Making10.1186/s12911-024-02427-024:1Online publication date: 30-Jan-2024
https://doi.org/10.1186/s12911-024-02427-0
Dritsa DHouben S(2024)How Design Researchers Make Sense of Data Visualizations in Data-Driven Design: An Uncertainty-Aware Sensemaking ModelACM Transactions on Computer-Human Interaction10.1145/368526831:6(1-53)Online publication date: 31-Jul-2024
https://dl.acm.org/doi/10.1145/3685268
Sala PZare O(2024)Sequence-Walking Decision Tree for Multivariate Healthcare Data2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)10.1109/ICHI61247.2024.00011(21-30)Online publication date: 3-Jun-2024
https://doi.org/10.1109/ICHI61247.2024.00011
Siebra CQuintino JSantos ADa Silva F(2024)Wearable-oriented Support for Interpretation of Behavioural Effects on Sleep2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC53108.2024.10781768(1-4)Online publication date: 15-Jul-2024
https://doi.org/10.1109/EMBC53108.2024.10781768
Vecchia AMarastoni NQuintarelli E(2024)Anomaly detection to infer context changes in temporal data2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT61888.2024.10740439(1-6)Online publication date: 25-Sep-2024
https://doi.org/10.1109/AICT61888.2024.10740439
Chatterjee AGerdes MPrinz ARiegler MMartinez S(2024)Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-studyScientific Reports10.1038/s41598-024-55183-614:1Online publication date: 26-Feb-2024
https://doi.org/10.1038/s41598-024-55183-6
Bajaj RMeiring RBeltran F(2023)Co-Design, Development, and Evaluation of a Health Monitoring Tool Using Smartwatch Data: A Proof-of-Concept StudyFuture Internet10.3390/fi1503011115:3(111)Online publication date: 17-Mar-2023
https://doi.org/10.3390/fi15030111
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