| Title: | Real-life application of a wearable device towards injury prevention in tennis : a single-case study |
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| Authors: | ID Kramberger, Iztok (Author)
ID Filipčič, Aleš (Author)
ID Germič, Aleš (Author)
ID Kos, Marko (Author) |
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| Files: |  RAZ_Kramberger_Iztok_2022.pdf (4,62 MB)
MD5: B03392E86C831E30A77BBEA7BBD650A4
 https://www.mdpi.com/1424-8220/22/12/4436
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | The purpose of this article is to present the use of a previously validated wearable sensor
device, Armbeep, in a real-life application, to enhance a tennis player’s training by monitoring and
analysis of the time, physiological, movement, and tennis-specific workload and recovery indicators,
based on fused sensor data acquired by the wearable sensor—a miniature wearable sensor device,
designed to be worn on a wrist, that can detect and record movement and biometric information,
where the basic signal processing is performed directly on the device, while the more complex
signal analysis is performed in the cloud. The inertial measurements and pulse-rate detection of
the wearable device were validated previously, showing acceptability for monitoring workload and
recovery during tennis practice and matches. This study is one of the first attempts to monitor the
daily workload and recovery of tennis players under real conditions. Based on these data, we can
instruct the coach and the player to adjust the daily workload. This optimizes the level of an athlete’s
training load, increases the effectiveness of training, enables an individual approach, and reduces the
possibility of overuse or injuries. This study is a practical example of the use of modern technology
in the return of injured athletes to normal training and competition. This information will help tennis
coaches and players to objectify their workloads during training and competitions, as this is usually
only an intuitive assessment. |
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| Keywords: | tennis, training, data-based coaching, shot recognition, wearable device, workload, recovery |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 28.04.2022 |
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| Article acceptance date: | 09.06.2022 |
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| Publication date: | 11.06.2022 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2022 |
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| Number of pages: | str. 1-21 |
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| Numbering: | iss. 12, art. 4436, vol. 22 |
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| PID: | 20.500.12556/DKUM-92331  |
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| UDC: | 796.342 |
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| ISSN on article: | 1424-8220 |
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| COBISS.SI-ID: | 111479811 |
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| DOI: | 10.3390/s22124436 |
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| Copyright: | © 2022 by the authors |
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| Publication date in DKUM: | 31.03.2025 |
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| Views: | 173 |
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| Downloads: | 16 |
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| Metadata: |    |
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| Categories: | Misc.
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