High speed cameras for motion analysis in sports science

Pueo, Basílio

doi:10.14198/jhse.2016.111.05

Cited by 65 publications

(47 citation statements)

References 8 publications

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“…The analysis of the activity can be primarily a qualitative process, which is often the case when the examination is of movements that occur in a single plane (bidimensional or 2D) with data obtained using one camera (Garhammer & Newton, 2013). Analysis can also be primarily a quantitative process (Payton & Barlett, 2008), especially when examining movement in more than one plane (tridimensional or 3D), which requires that data be collected using two or more cameras simultaneously (Pueo, 2016). Currently, the 2D methods of analysis are more prevalent in real-life sports applications due to their greater simplicity and lower cost.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the start to the first hurdle in 110 m hurdles at the IAAF World Athletics Championships Beijing 2015

Amo¹,

Rodríguez²,

Hill³

et al. 2018

jhse

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The purpose of this study was to use observational analysis to evaluate the relationships between variables measured at the start of the men's 110 hurdles event and race performance itself. Data were obtained for competitors in 2015 IAAF World Athletics Championships, in Beijing, China. The athletes' start was quantified by reaction time and time to the first hurdle; their action over the first hurdle was quantified by the takeoff distance (i.e., the distance from the last step to the first hurdle), the landing distance, and the total distance in the air over the first hurdle. Regression analyses revealed that the combination of one measure of the start (either reaction time or time to the first hurdle) and the measure of propulsion over the first hurdle (distance in air over the first hurdle) predicted performance (SEE = 0.23 s in the heats, SEE = 0.16 s in the semifinals , SEE = 0.09 s in the finals). In addition, looking at performances in the finals, where all athletes with available data used a seven-step approach to the first hurdle, inclusion of stride length data improved the prediction somewhat (SEE = 0.07 s). The results demonstrate that a combination of a fast start, rapid acceleration, and strong drive over the first hurdle quantifiably explains and contributes to performance in the men's 110 m

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Section: Introductionmentioning

confidence: 99%

Analysis of the start to the first hurdle in 110 m hurdles at the IAAF World Athletics Championships Beijing 2015

Amo¹,

Rodríguez²,

Hill³

et al. 2018

jhse

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show abstract

“…Chamber one was placed to take a calibrated frontal plane using four placeholders to create a frame of reference that contained an overlap of 30% above the limits of the court so that actions that occurred outside the limits of the field (Pueo, 2016). Digger's actions were analyzed by players in different games, from group phase to final stages of championship.…”

Section: Methodsmentioning

confidence: 99%

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Jiménez-Olmedo¹,

Penichet-Tomás²

2017

JPES

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In this paper, we present a study of digger activity among university beach volleyball players. A total of 929 digger actions carried out by 24 European University teams at the 9th European Beach Volleyball Championship EUSA GAMES were analyzed. The video was analyzed using Longomatch v.0.27 software. Statistical significance of the comparison between systems was calculated using the Z test to compare proportions. Results showed that 63.8% were passive actions and 36.2% were active actions (p<0.001) while 51% of digger actions were in static position and 49% in dynamic position (p=0.178). Furthermore, 23.1% of digger actions ended in counter attack and 76.9% ended without counter attack (p<0.001). As a result, the most effective defence can be considered to be static actives. This study leads to specific training of defensive actions and lays the foundation for specialized training for diggers.

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“…A more extensive review of camera and sensor problems can be found in [15], from the perspective of recording scenes in sports.…”

Section: A Artificial Visionmentioning

confidence: 99%

A Review of Sensor Technologies for Perception in Automated Driving

Martí

Miguel

Fernández

et al. 2019

IEEE Intell. Transport. Syst. Mag.

236

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After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show the intention of the market in sensors technologies for Automated Vehicles.

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High speed cameras for motion analysis in sports science

Cited by 65 publications

References 8 publications

Analysis of the start to the first hurdle in 110 m hurdles at the IAAF World Athletics Championships Beijing 2015

Analysis of the start to the first hurdle in 110 m hurdles at the IAAF World Athletics Championships Beijing 2015

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A Review of Sensor Technologies for Perception in Automated Driving

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