Continuous athlete monitoring in challenging cycling environments using IoT technologiesis
- Author
- Esteban Municio, Glenn Daneels, Mathias De Brouwer (UGent) , Femke Ongenae (UGent) , Filip De Turck (UGent) , Bart Braem, Jeroen Famaey and Steven Latré
- Organization
- Abstract
- Internet of Things (IoT)-based solutions for sport analytics aim to improve performance, coaching, and strategic insights. These factors are especially relevant in cycling, where real-time data should be available anytime, anywhere, even in remote areas where there are no infrastructure-based communication technologies (e.g., LTE and Wi-Fi). In this article, we present an experience report on the use of state-of-the-art IoT technologies in cycling, where a group of cyclists can form a reliable and energy efficient mesh network to collect and process sensor data in real-time, such as heart rate, speed, and location. This data is analyzed in real-time to estimate the performance of each rider and derive instantaneous feedback. Our solution is the first to combine a local body area network to gather the sensor data from the cyclist and a 6TiSCH network to form a multihop long-range wireless sensor network in order to provide each bicycle with connectivity to the sink (e.g., a moving car following the cyclists). In this article, we present a detailed technical description of this solution, describing its requirements, options, and technical challenges. In order to assess such a deployment, we present a large publicly available data-set from different real-world cycling scenarios (mountain road cycle racing and cyclo-cross) which characterizes the performance of the approach, demonstrating its feasibility and evidencing its relevance and promising possibilities in a cycling context for providing low-power communication with reliable performance.
- Keywords
- 6TiSCH, CONAMO, cycling, Industrial Internet of Things (IoT), real-time, feedback, stream reasoning
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8640895
- MLA
- Municio, Esteban, et al. “Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologiesis.” IEEE INTERNET OF THINGS JOURNAL, vol. 6, no. 6, 2019, pp. 10875–87, doi:10.1109/JIOT.2019.2942761.
- APA
- Municio, E., Daneels, G., De Brouwer, M., Ongenae, F., De Turck, F., Braem, B., … Latré, S. (2019). Continuous athlete monitoring in challenging cycling environments using IoT technologiesis. IEEE INTERNET OF THINGS JOURNAL, 6(6), 10875–10887. https://doi.org/10.1109/JIOT.2019.2942761
- Chicago author-date
- Municio, Esteban, Glenn Daneels, Mathias De Brouwer, Femke Ongenae, Filip De Turck, Bart Braem, Jeroen Famaey, and Steven Latré. 2019. “Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologiesis.” IEEE INTERNET OF THINGS JOURNAL 6 (6): 10875–87. https://doi.org/10.1109/JIOT.2019.2942761.
- Chicago author-date (all authors)
- Municio, Esteban, Glenn Daneels, Mathias De Brouwer, Femke Ongenae, Filip De Turck, Bart Braem, Jeroen Famaey, and Steven Latré. 2019. “Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologiesis.” IEEE INTERNET OF THINGS JOURNAL 6 (6): 10875–10887. doi:10.1109/JIOT.2019.2942761.
- Vancouver
- 1.Municio E, Daneels G, De Brouwer M, Ongenae F, De Turck F, Braem B, et al. Continuous athlete monitoring in challenging cycling environments using IoT technologiesis. IEEE INTERNET OF THINGS JOURNAL. 2019;6(6):10875–87.
- IEEE
- [1]E. Municio et al., “Continuous athlete monitoring in challenging cycling environments using IoT technologiesis,” IEEE INTERNET OF THINGS JOURNAL, vol. 6, no. 6, pp. 10875–10887, 2019.
@article{8640895,
abstract = {{Internet of Things (IoT)-based solutions for sport analytics aim to improve performance, coaching, and strategic insights. These factors are especially relevant in cycling, where real-time data should be available anytime, anywhere, even in remote areas where there are no infrastructure-based communication technologies (e.g., LTE and Wi-Fi). In this article, we present an experience report on the use of state-of-the-art IoT technologies in cycling, where a group of cyclists can form a reliable and energy efficient mesh network to collect and process sensor data in real-time, such as heart rate, speed, and location. This data is analyzed in real-time to estimate the performance of each rider and derive instantaneous feedback. Our solution is the first to combine a local body area network to gather the sensor data from the cyclist and a 6TiSCH network to form a multihop long-range wireless sensor network in order to provide each bicycle with connectivity to the sink (e.g., a moving car following the cyclists). In this article, we present a detailed technical description of this solution, describing its requirements, options, and technical challenges. In order to assess such a deployment, we present a large publicly available data-set from different real-world cycling scenarios (mountain road cycle racing and cyclo-cross) which characterizes the performance of the approach, demonstrating its feasibility and evidencing its relevance and promising possibilities in a cycling context for providing low-power communication with reliable performance.}},
author = {{Municio, Esteban and Daneels, Glenn and De Brouwer, Mathias and Ongenae, Femke and De Turck, Filip and Braem, Bart and Famaey, Jeroen and Latré, Steven}},
issn = {{2327-4662}},
journal = {{IEEE INTERNET OF THINGS JOURNAL}},
keywords = {{6TiSCH,CONAMO,cycling,Industrial Internet of Things (IoT),real-time,feedback,stream reasoning}},
language = {{eng}},
number = {{6}},
pages = {{10875--10887}},
title = {{Continuous athlete monitoring in challenging cycling environments using IoT technologiesis}},
url = {{http://doi.org/10.1109/JIOT.2019.2942761}},
volume = {{6}},
year = {{2019}},
}
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