Abstract:The use of contemporary technology is widely recognised as a key tool for enhancing competitive performance in swimming. Video analysis is traditionally used by coaches to acquire reliable biomechanical data about swimming performance; however, this approach requires a huge computational effort, thus introducing a delay in providing quantitative information. Inertial and magnetic sensors, including accelerometers, gyroscopes and magnetometers, have been recently introduced to assess the biomechanics of swimmin… Show more
“…No direct comparison could be performed with previous studies because those analyses regarded time descriptors of swimming rather than angular indices (Magalhaes et al, 2015). Nevertheless, 3D joint kinematics may allow not only a more accurate and precise estimation of performance indicators, but also an investigation of the patterns of motion of a swimmer and their relationship with overload injuries.…”
Section: Discussionmentioning
confidence: 99%
“…However, that kind of analysis requires timeconsuming installation, calibration/computational procedures, and allows the examination of only the underwater phases of the movement and few stroke cycles. Recently, wearable inertial-magnetic measurement units (IMMUs) have been used (Magalhaes, Vannozzi, Gatta, & Fantozzi, 2015). Initially, stroke rate, stroke phases analysis and discrimination among different swimming styles were performed (Dadashi et al, 2013;Le Sage et al, 2011;Ohgi, Ichikawa, Homma, & Miyaji, 2003).…”
The analysis of the joint kinematics during swimming plays a fundamental role both in sports conditioning and in clinical contexts. Contrary to the traditional video analysis, wearable inertial-magnetic measurements units (IMMUs) allow to analyse both the underwater and aerial phases of the swimming stroke over the whole length of the swimming pool. Furthermore, the rapid calibration and short data processing required by IMMUs provide coaches and athletes with an immediate feedback on swimming kinematics during training. This study aimed to develop a protocol to assess the three-dimensional kinematics of the upper limbs during swimming using IMMUs. Kinematics were evaluated during simulated dry-land swimming trials performed in the laboratory by eight swimmers. A stereo-photogrammetric system was used as the gold standard. The results showed high coefficient of multiple correlation (CMC) values, with median (first-third quartile) of 0.97 (0.93-0.95) and 0.99 (0.97-0.99) for simulated front-crawl and breaststroke, respectively. Furthermore, the joint angles were estimated with an accuracy increasing from distal to proximal joints, with wrist indices showing median CMC values always higher than 0.90. The present findings represent an important step towards the practical use of technology based on IMMUs for the kinematic analysis of swimming in applied contexts.
“…No direct comparison could be performed with previous studies because those analyses regarded time descriptors of swimming rather than angular indices (Magalhaes et al, 2015). Nevertheless, 3D joint kinematics may allow not only a more accurate and precise estimation of performance indicators, but also an investigation of the patterns of motion of a swimmer and their relationship with overload injuries.…”
Section: Discussionmentioning
confidence: 99%
“…However, that kind of analysis requires timeconsuming installation, calibration/computational procedures, and allows the examination of only the underwater phases of the movement and few stroke cycles. Recently, wearable inertial-magnetic measurement units (IMMUs) have been used (Magalhaes, Vannozzi, Gatta, & Fantozzi, 2015). Initially, stroke rate, stroke phases analysis and discrimination among different swimming styles were performed (Dadashi et al, 2013;Le Sage et al, 2011;Ohgi, Ichikawa, Homma, & Miyaji, 2003).…”
The analysis of the joint kinematics during swimming plays a fundamental role both in sports conditioning and in clinical contexts. Contrary to the traditional video analysis, wearable inertial-magnetic measurements units (IMMUs) allow to analyse both the underwater and aerial phases of the swimming stroke over the whole length of the swimming pool. Furthermore, the rapid calibration and short data processing required by IMMUs provide coaches and athletes with an immediate feedback on swimming kinematics during training. This study aimed to develop a protocol to assess the three-dimensional kinematics of the upper limbs during swimming using IMMUs. Kinematics were evaluated during simulated dry-land swimming trials performed in the laboratory by eight swimmers. A stereo-photogrammetric system was used as the gold standard. The results showed high coefficient of multiple correlation (CMC) values, with median (first-third quartile) of 0.97 (0.93-0.95) and 0.99 (0.97-0.99) for simulated front-crawl and breaststroke, respectively. Furthermore, the joint angles were estimated with an accuracy increasing from distal to proximal joints, with wrist indices showing median CMC values always higher than 0.90. The present findings represent an important step towards the practical use of technology based on IMMUs for the kinematic analysis of swimming in applied contexts.
“…Navigation applications take the aid of acoustic communication to cover longer distances. Localization, tracking, and trilateration applications require 4D n/a n/a Localization Many Acoustic Prototype [53] 4D n/a n/a Tracking, sonar Many Acoustic Real-time [54] 4D, 3D n/a n/a Localization n/a Acoustic Real-time [55] 4D Pool, pond Few meters Triliterization Many Acoustic Real-time [57] n/a Pool n/a Magnetic field Few RF Real-time [58] n/a Pool n/a Various Many n/a n/a [59] n/a Pool 0-10 cm Camera, pressure, and force Few Acoustic Real-time [60] n/a Pool n/a Various Many n/a n/a [61] 2D Pool n/a Accelerometer Few Optical Real-time [62] 2D Pool 10 cm Accelerometer Few Optical Real-time an UWSN that communications with the ROV to acquire data from the anchor nodes and relay the data to the remote station (4D architecture).…”
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.
“…First, there is swimming style (freestyle, backstroke, breaststroke and butterfly). Second, there is the turn type, and third, there is swimming intensity (speed or resistance) [14,32,33,34,35,36,37,38,39,40,41,42,43]. …”
Section: Sportsmentioning
confidence: 99%
“…Swimming requires two important measurements of variables to the development of the athlete, which are the resistance to the movement of the body in water and propulsion of the body in water, according to the efficiency of the arms during the movement [32,33,34,35,36,37,38,39,40,41,42,43,44]. …”
The following work presents an overview of smart sensors and sensor fusion targeted at biomedical applications and sports areas. In this work, the integration of these areas is demonstrated, promoting a reflection about techniques and applications to collect, quantify and qualify some physical variables associated with the human body. These techniques are presented in various biomedical and sports applications, which cover areas related to diagnostics, rehabilitation, physical monitoring, and the development of performance in athletes, among others. Although some applications are described in only one of two fields of study (biomedicine and sports), it is very likely that the same application fits in both, with small peculiarities or adaptations. To illustrate the contemporaneity of applications, an analysis of specialized papers published in the last six years has been made. In this context, the main characteristic of this review is to present the largest quantity of relevant examples of sensor fusion and smart sensors focusing on their utilization and proposals, without deeply addressing one specific system or technique, to the detriment of the others.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.