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Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices: Proof-of-Concept & Performance Evaluation

Published: 23 April 2018 Publication History

Abstract

Enabling real-time collection and analysis of cyclist sensor data could allow amateur cyclists to continuously monitor themselves, receive personalized feedback on their performance, and communicate with each other during cycling events. Semantic Web technologies enable intelligent consolidation of all available context and sensor data. Stream reasoning techniques allow to perform advanced processing tasks by correlating the consolidated data to enable personalized and context-aware real-time feedback. In this paper, these technologies are leveraged and evaluated to design a Proof-of-Concept application of a personalized real-time feedback platform for amateur cyclists. Real-time feedback about the user's heart rate and heart rate training zones is given through a web application. The performance and scalability of the platform is evaluated on a Raspberry Pi. This shows the potential of the framework to be used in real-life cycling by small groups of amateur cyclists, who can only access low-end devices during events and training.

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Cited By

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  • (2023)Pegasos: a framework for the creation of direct mobile coaching feedback systemsJournal on Multimodal User Interfaces10.1007/s12193-023-00411-y18:1(1-19)Online publication date: 12-Sep-2023
  • (2022)Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback SystemsApplied Sciences10.3390/app1211555812:11(5558)Online publication date: 30-May-2022
  • (2021)A Novel mHealth Monitoring System during Cycling in Elite AthletesInternational Journal of Environmental Research and Public Health10.3390/ijerph1809478818:9(4788)Online publication date: 30-Apr-2021
  • Show More Cited By

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cover image ACM Other conferences
WWW '18: Companion Proceedings of the The Web Conference 2018
April 2018
2023 pages
ISBN:9781450356404
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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  • IW3C2: International World Wide Web Conference Committee

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

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Author Tags

  1. cycling
  2. real-time feedback
  3. stream reasoning

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  • Research-article

Funding Sources

  • VLAIO
  • imec
  • UGent

Conference

WWW '18
Sponsor:
  • IW3C2
WWW '18: The Web Conference 2018
April 23 - 27, 2018
Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2023)Pegasos: a framework for the creation of direct mobile coaching feedback systemsJournal on Multimodal User Interfaces10.1007/s12193-023-00411-y18:1(1-19)Online publication date: 12-Sep-2023
  • (2022)Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback SystemsApplied Sciences10.3390/app1211555812:11(5558)Online publication date: 30-May-2022
  • (2021)A Novel mHealth Monitoring System during Cycling in Elite AthletesInternational Journal of Environmental Research and Public Health10.3390/ijerph1809478818:9(4788)Online publication date: 30-Apr-2021
  • (2020)Towards an AI-Based Tailored Training Planning for Road Cyclists: A Case StudyApplied Sciences10.3390/app1101031311:1(313)Online publication date: 30-Dec-2020
  • (2019)Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT TechnologiesIEEE Internet of Things Journal10.1109/JIOT.2019.29427616:6(10875-10887)Online publication date: Dec-2019
  • (2019)Demonstration of a Stream Reasoning Platform on Low-End Devices to Enable Personalized Real-Time Cycling FeedbackThe Semantic Web: ESWC 2019 Satellite Events10.1007/978-3-030-32327-1_6(28-32)Online publication date: 10-Oct-2019

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