A Multi-sensor System for Monitoring the Performance of Elite Swimmers

Sage, Tanya Le; Bindel, Axel; Conway, Paul; Justham, Laura; Slawson, Sian; Webster, James; West, Andrew A.

doi:10.1007/978-3-642-25206-8_23

Cited by 12 publications

(17 citation statements)

References 13 publications

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“…Findings of video-based studies with elite swimmers [ 125 , 126 , 127 ] suggest that the most statistically significant starting performance variables, based on correlation with overall start time, are block time; flight time; peak horizontal velocity at take-off and peak horizontal force, and it is recommended that swimmers and coaches focus on improving these variables during training to improve overall starting performance [ 128 ]. These key variables have been measured by only one group [ 41 , 68 , 129 ].…”

Section: Discussionmentioning

confidence: 99%

Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review

Mooney

Corley

Godfrey

et al. 2015

Sensors

114

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Technical evaluation of swimming performance is an essential factor of elite athletic preparation. Novel methods of analysis, incorporating body worn inertial sensors (i.e., Microelectromechanical systems, or MEMS, accelerometers and gyroscopes), have received much attention recently from both research and commercial communities as an alternative to video-based approaches. This technology may allow for improved analysis of stroke mechanics, race performance and energy expenditure, as well as real-time feedback to the coach, potentially enabling more efficient, competitive and quantitative coaching. The aim of this paper is to provide a systematic review of the literature related to the use of inertial sensors for the technical analysis of swimming performance. This paper focuses on providing an evaluation of the accuracy of different feature detection algorithms described in the literature for the analysis of different phases of swimming, specifically starts, turns and free-swimming. The consequences associated with different sensor attachment locations are also considered for both single and multiple sensor configurations. Additional information such as this should help practitioners to select the most appropriate systems and methods for extracting the key performance related parameters that are important to them for analysing their swimmers’ performance and may serve to inform both applied and research practices.

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Section: Discussionmentioning

confidence: 99%

Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review

Mooney

Corley

Godfrey

et al. 2015

Sensors

114

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“…For instance, Davey [11] showed that lap times derived from accelerometers were significantly more accurate than manually collected data. Several authors have demonstrated the validity and reliability of stroke rate and stroke count using either zero-crossing or peak detection algorithms [3,12,14,15,16]. Similarly, other relevant parameters can be detected such as kick count and rate [17].…”

Section: Introductionmentioning

confidence: 99%

Using Tri-Axial Accelerometry in Daily Elite Swim Training Practice

Ganzevles

Vullings

Beek

et al. 2017

Sensors

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Background: Coaches in elite swimming carefully design the training programs of their swimmers and are keen on achieving strict adherence to those programs by their athletes. At present, coaches usually monitor the compliance of their swimmers to the training program with a stopwatch. However, this measurement clearly limits the monitoring possibilities and is subject to human error. Therefore, the present study was designed to examine the reliability and practical usefulness of tri-axial accelerometers for monitoring lap time, stroke count and stroke rate in swimming. Methods: In the first part of the study, a 1200 m warm-up swimming routine was measured in 13 elite swimmers using tri-axial accelerometers and synchronized video recordings. Reliability was determined using the typical error of measurement (TEM) as well as a Bland-Altman analysis. In the second part, training compliance both within and between carefully prescribed training sessions was assessed in four swimmers in order to determine the practical usefulness of the adopted accelerometric approach. In these sessions, targets were set for lap time and stroke count by the coach. Results: The results indicated high reliability for lap time (TEM = 0.26 s, bias = 0.74 [0.56 0.91] with limits of agreement (LoA) from −1.20 [−1.50 −0.90] to 2.70 [2.40 3.00]), stroke count (TEM 0.73 strokes, bias = 0.46 [0.32 0.60] with LoA from −1.70 [−1.94 −1.46] to 2.60 [2.36 2.84]) and stroke rate (TEM 0.72 str∙min−1, bias = −0.13 [−0.20 −0.06] with LoA from −2.20 [−2.32 −2.08] to 1.90 [1.78 2.02]), while the results for the monitoring of training compliance demonstrated the practical usefulness of our approach in daily swimming training. Conclusions: The daily training of elite swimmers can be accurately and reliably monitored using tri-axial accelerometers. They provide the coach with more useful information to guide and control the training process than hand-clocked times.

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“…Data is streamed to a pool-side laptop that can process the data from up to 100 swimmers at a time (Zarda, 2010). Sensors have also been used to measure performance parameters such as approach time, contact time glide, kick time, and stoke time during a swimmer's tumble turn with comparable accuracy to that achieved using digital video analysis (Sage et al, 2012). The system has been adopted by a number swimming programs in U.S. universities.…”

Section: Sensing In Other Sportsmentioning

confidence: 99%

Wellness, Fitness, and Lifestyle Sensing Applications

McGrath¹,

Scanaill²

2013

Sensor Technologies

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Physical fitness is not only one of the most important keys to a healthy body; it is the basis of dynamicand creative intellectual activity. -John F. Kennedy, 35th President of the United StatesChapter 9 considered how sensors are playing an increasingly important role in health-related applications, such as chronic disease management. Medically, health is sometimes described as the absence of one or more of the "five Ds": death, disease, discomfort, disability, and dissatisfaction. Consequently, the focus is on determining whether disease is present and, when present, managing that condition (Edlin et al., 2000). Wellness takes a different perspective on health. It looks at the entire person, the manner in which they live their life, and lifestyle influences on their well-being. Wellness encompasses six distinct dimensions of well-being: emotional, intellectual, spiritual, occupational, social, and physical (Hettler, 1976). Collectively, these dimensions are often referred to as the holistic model of wellness. Sensors can be applied to quantify all dimensions of wellness to a certain extent. Of these dimensions, only physical wellness is monitored by individuals in the consumer domain. This chapter focuses on physical well-being and how sensing can be used to monitor and maintain physical wellness. Positively influencing physical well-being can also have significant benefits for other aspects of well-being, such as socializing with others during physical activities and helping to reduce emotional stress.A variety of factors can influence personal wellness, including diet, exercise, poor habits, proactive self-care, and seeking medical intervention when appropriate (Edlin et al., 2014). As such, wellness is a dynamic process that is constantly changing based on the daily decisions we make about what we eat, drink, how much exercise we do, and so on. It is easy to lose track of wellness with the demands of busy, modern lifestyles. Technology is now having a positive effect on individuals by helping them to manage their physical wellness. This trend will continue to grow in the future as sensing and supporting technologies are seamlessly integrated into our daily lives. Discrete sensors and sensors integrated into smartphones are already enabling us to monitor our activity levels, fitness, performance levels, and calorie burn/consumption through smartphone apps and web portals. In a broader context, pervasive sensing in our homes and leisure areas will provide passive monitoring on a long-term basis of our physical activities, interactions with our environment, and other physiological, cognitive, and biochemical parameters of interest without activity restriction and behavior modification. The collected data can be used to notify us of immediate risk or to identify trends in parameters that are outside of normative ranges. Sensing sleep quality, in babies and adults, is a now a common application of pervasive sensing. The consumer does not actively track their sleep in real time but they need to be alerted immedi...

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A Multi-sensor System for Monitoring the Performance of Elite Swimmers

Cited by 12 publications

References 13 publications

Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review

Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review

Using Tri-Axial Accelerometry in Daily Elite Swim Training Practice

Wellness, Fitness, and Lifestyle Sensing Applications

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