2017
DOI: 10.1007/978-3-319-60639-2_1
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A Wearable Flexible Sensor Network Platform for the Analysis of Different Sport Movements

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Cited by 8 publications
(3 citation statements)
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“…These devices are commonly referred to as wearable sensors (Chambers, Gabbett, Cole, & Beard, 2015). The field‐based analysis opens opportunities to capture data in realistic settings (in training or competition) and to get a (nearly) real‐time monitoring to better measure the effects of training or game performance (Neville, Wixted, Rowlands, & James, 2010; Schmidt et al., 2017). In the meantime, the capturing of sport‐specific movements under field‐based conditions has become a high priority and has become more and more common, which is reflected in the development of wearable systems for a wide range of sports (Camomilla et al., 2018; Chambers et al., 2015).…”
Section: Introductionmentioning
confidence: 99%
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“…These devices are commonly referred to as wearable sensors (Chambers, Gabbett, Cole, & Beard, 2015). The field‐based analysis opens opportunities to capture data in realistic settings (in training or competition) and to get a (nearly) real‐time monitoring to better measure the effects of training or game performance (Neville, Wixted, Rowlands, & James, 2010; Schmidt et al., 2017). In the meantime, the capturing of sport‐specific movements under field‐based conditions has become a high priority and has become more and more common, which is reflected in the development of wearable systems for a wide range of sports (Camomilla et al., 2018; Chambers et al., 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Traditionally, biomechanical performance analysis of ice hockey skating is either done in a laboratory environment using skating treadmills (Upjohn et al., 2008) and synthetic ice surfaces (Stidwill, Pearsall, & Turcotte, 2010) or with extensive measurement equipment on an ice rink (Buckeridge, LeVangie, Stetter, Nigg, & Nigg, 2015; Renaud et al., 2017). These approaches are typically highly standardized and allow a precise and unobtrusive measurement of multiple performance variables, which yield insight to human movements and techniques (Schmidt, Wille, Rheinländer, Wehn, & Jaitner, 2017). The biomechanical data gained, deliver useful information to improve training and to achieve performance enhancement (Buckeridge et al., 2015; Renaud et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Smartwatches are one of the devices that are widely used for exercising by connecting via an application on Android (Harrison et al, 2023). The measurements that can be taken by this device are very complex, starting from footsteps (Schmidt, Wille, Rheinländer, Wehn, & Jaitner, 2018), calories burned (Xie et al, 2018), oxygen levels (Putra, Suarmin, & Ekariani, 2022), heart rate (Ichwana, Ikhlas, & Ekariani, 2018), to estimating exercise intensity and volume (Adamakis, 2020). Devices like this contribute to athletes and other sportspeople.…”
Section: Discussionmentioning
confidence: 99%