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On the (In-)Accuracy of GPS Measures of Smartphones: A Study of Running Tracking Applications

Published: 02 December 2013 Publication History

Abstract

Sports tracking applications are increasingly available on the market, and research has recently picked up this topic. Tracking a user's running track and providing feedback on the performance are among the key features of such applications. However, little attention has been paid to the accuracy of the applications' localization measurements. In evaluating the nine currently most popular running applications, we found tremendous differences in the GPS measurements. Besides this finding, our study contributes to the scientific knowledge base by qualifying the findings of previous studies concerning accuracy with smartphones' GPS components.

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      cover image ACM Other conferences
      MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia
      December 2013
      599 pages
      ISBN:9781450321068
      DOI:10.1145/2536853
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 December 2013

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      Author Tags

      1. Accuracy
      2. GPS
      3. Global Positioning System
      4. Localization
      5. Location-based System
      6. Positioning
      7. Running Tracking
      8. Smartphone
      9. Sports Tracking

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      • (2023)Desarrollo de una metodología para la gestión de inventarios de floraEPISTEMUS10.36790/epistemus.v18i35.31218:35Online publication date: 7-Dec-2023
      • (2023)A Mobile Health Application Using Geolocation for Behavioral Activity TrackingSensors10.3390/s2318791723:18(7917)Online publication date: 15-Sep-2023
      • (2023)LEAN: Real-Time Analysis of Resistance Training Using Wearable ComputingSensors10.3390/s2310460223:10(4602)Online publication date: 9-May-2023
      • (2022)Deep Learning based Facial Recognition System for Attendance Maintenance2022 International Conference on Edge Computing and Applications (ICECAA)10.1109/ICECAA55415.2022.9936170(1458-1462)Online publication date: 13-Oct-2022
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      • (2021)IoT Based 3-Dimensional GPS Tracking SystemJournal of Physics: Conference Series10.1088/1742-6596/2007/1/0120242007:1(012024)Online publication date: 1-Aug-2021
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      • (2020)Accuracy of GPS sport watches in measuring distance in an ultramarathon running raceInternational Journal of Sports Science & Coaching10.1177/174795411989988015:2(212-219)Online publication date: 9-Jan-2020
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