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Title
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Continuous athlete monitoring in challenging cycling environments using IoT technologies
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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IEEE internet of things journal. - Piscataway, NJ, 2014, currens
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Publication
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Piscataway, NJ
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Institute of Electrical and Electronics Engineers
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2019
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ISSN
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2327-4662
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DOI
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10.1109/JIOT.2019.2942761
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Volume/pages
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6
:6
(2019)
, p. 10875-10887
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ISI
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000503985700134
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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