Development of a wireless sensor network for embedded monitoring of human motion in a Harsh environment

Sage, Tanya Le; Bindel, Axel; Conway, Paul; Slawson, Sian; West, Andrew A.

doi:10.1109/iccsn.2011.6013555

Cited by 9 publications

(10 citation statements)

References 7 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

118

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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

118

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“…A wireless sensor network (WSN) has been developed at Loughborough University 1 with the aim of monitoring the performance of the swimmer during the three phases of in-water training: the start, free swimming and the turn. Previous research has been completed determining the applicability of using the system to monitor the swimmer’s start and free swimming; 2,3 however, no publication has been produced to date which looks at using the WSN to monitor a swimmer’s full tumble turn.…”

Section: Introductionmentioning

confidence: 99%

“…A WSN was developed at Loughborough University 1 which aimed to overcome the problems associated with these systems, providing the user (coaches and biomechanists) with automated quantitative feedback surrounding the swimmer’s performance. The system was developed such that it did not require a skilled operator (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The system was developed such that it did not require a skilled operator (i.e. someone with a background in wireless sensor data analysis) and could monitor multiple swimmers simultaneously (up to 16 at any one time 1 ). The focus of this research was to determine the extent to which the WSN can be used to monitor the swimmer’s performance during the tumble turn.…”

Section: Introductionmentioning

confidence: 99%

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A wireless sensor system for monitoring the performance of a swimmer’s tumble turn

Sage

Conway

Cossor

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part P:

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A wireless sensor system has been used to calculate measurable performance parameters throughout a swimmer’s tumble turn. The parameters to be measured have been specified by the users (coaches, biomechanists and swimmers) of the system. The findings suggest that the wireless sensor network can be used to determine the approach time, contact time, glide time, kick time and stroke time to within 0.07 ± 0.16 s of the results obtained using manual digitisation of video images obtained from an underwater camera. It is concluded that it is possible to determine the swimmer’s time, orientation and velocity throughout the turn using the implemented inertial navigation system.

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“…These applications are different from other UWSN applications in terms of velocity of the mobility of the nodes, sensing parameters, and so forth. In [56] the authors have presented a wireless sensor network that is used to monitor the performance of a swimmer or multiple swimmers. The networks bandwidth is put into consideration in this work, where the performance is communicated to the coach and other swimmers simultaneously.…”

Section: Sportsmentioning

confidence: 99%

Underwater Sensor Network Applications: A Comprehensive Survey

Felemban

Shaikh

Qureshi

et al. 2015

International Journal of Distributed Sensor Networks

331

190

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There is no escaping fact that a huge amount of unexploited resources lies underwater which covers almost 70% of the Earth. Yet, the aquatic world has mainly been unaffected by the recent advances in the area of wireless sensor networks (WSNs) and their pervasive penetration in modern day research and industrial development. The current pace of research in the area of underwater sensor networks (UWSNs) is slow due to the difficulties arising in transferring the state-of-the-art WSNs to their underwater equivalent. Maximum underwater deployments rely on acoustics for enabling communication combined with special sensors having the capacity to take on harsh environment of the oceans. However, sensing and subsequent transmission tend to vary as per different subsea environments; for example, deep sea exploration requires altogether a different approach for communication as compared to shallow water communication. This paper particularly focuses on comprehensively gathering most recent developments in UWSN applications and their deployments. We have classified the underwater applications into five main classes, namely, monitoring, disaster, military, navigation, and sports, to cover the large spectrum of UWSN. The applications are further divided into relevant subclasses. We have also shown the challenges and opportunities faced by recent deployments of UWSN.

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Development of a wireless sensor network for embedded monitoring of human motion in a Harsh environment

Cited by 9 publications

References 7 publications

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

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

A wireless sensor system for monitoring the performance of a swimmer’s tumble turn

Underwater Sensor Network Applications: A Comprehensive Survey

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