Sensor Based Agility Assessment in Sport

Hribernik, Matevž; Keš, Erik; Umek, Anton; Kos, Anton

doi:10.1016/j.procs.2021.04.082

Cited by 7 publications

(8 citation statements)

References 12 publications

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“…Another paper on long-distance running or triathlons reported measures on the modality of the foot support obtained by three-axis accelerometers placed on the In particular, the IMU validity and reliability were researched on the wrist movement in the pitching phase in both baseball and cricket games and the punching in boxing, trajectory of the joints or velocity and acceleration in the snow sports and disability games, including wheelchair basketball, by comparing via Motion Capture System (MOCap, further explored in Section 8) [114,[119][120][121][122]. Additionally, accelerometers are used to measure the agility, acceleration, and prediction of prevailing foot trajectory movement in team sports, including volleyball and football [123,124]. Additionally, the output of force sensors and the kinematic data obtained from IMUs were used to estimate jump height and ball impact timing in jump serve, block, and attack actions in volleyball coaching [125].…”

Section: Inertial Measurement Unit-imumentioning

confidence: 99%

“…Moreover, the lower mass and weight of these wearable sensors are helpful in not breaking the players' attention and focus, allowing a more realistic and reliable measure [140,143]. For example, accelerometers can measure variables such as proper acceleration, which is useful for assessing a player's agility and predicting the prevailing foot activity in team sports, including volleyball and football [123,124,144]. Furthermore, IMU devices are widely used to assess the arm joints' acceleration in combat sports, such as karate, where they have been used to take measurements in the punching phase.…”

Section: Imus In Biomechanics Health Monitoring Injury Protectionmentioning

confidence: 99%

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The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

Edriss,

Romagnoli,

Caprioli

et al. 2024

Applied Sciences

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Physical activity analysis assessment has been a concern throughout human history. The intersection of technological growth with sports has given rise to a burgeoning field known as sports engineering. In the 19th century, the advent of chrono-photography and pioneering marked the inception of sports performance analysis. In recent years, the noticeable developments achieved in wearable low-power electronics with wireless high interconnection capability, as a part of modern technologies, have aided us in studying sports parameters such as motor behavior, biomechanics, equipment design, and materials science, playing an essential role in the understanding of sports dynamics. This study aims to review over 250 published articles since 2018, focusing on utilizing and validating these emergent technologies in sports and clinical aspects. It is predicted that one of the next steps in sports technology and engineering development will be using algorithms based on artificial intelligence to analyze the measurements obtained by multi-sensor systems (sensor fusion) to monitor biometric and physiological parameters in performance analysis and health assessments.

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Section: Inertial Measurement Unit-imumentioning

confidence: 99%

Section: Imus In Biomechanics Health Monitoring Injury Protectionmentioning

confidence: 99%

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

Edriss,

Romagnoli,

Caprioli

et al. 2024

Applied Sciences

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“…In sports, agility has various meanings as proposed by (Hribernik et al, 2021: 441) [6] .The most popular and dominant definition that agility is the ability to change positions quickly and efficiently. Agility is also associated with physical characteristics such as endurance, strength and technique.…”

Section: Agilitymentioning

confidence: 99%

The relevance of physical conditions to team performance: A case study of PORPROV women's volleyball athletes in Banyumas regency

Amal¹,

Sutapa²,

Ramadhan³

2022

J. Sports Sci. Nutr.

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This descriptive research aims to reveal the physical condition of volleyball female athletes in Banyumas Regency and to examine the physical conditions of athletes such as, components of endurance, explosive power, agility, strength, flexibility, speed, and coordination as well as knowing the relevance of the results of those physical conditions with team performance. 6 athletes were involved in this research as the sample. Data include the results are as follows: 1.) The speed test which got an average result of 30 meters sprint run: 5.37 in perfect category, 2.) The flexibility test which got an average sit and reach: 15.26 in the poor category, 3.) The coordination test which scored the average results of throwing and catching tennis balls: 20.16 in the poor category, 4.) The abdominal strength test (abdominal muscles) which scored the average sit up results: 34.33 in good category, 5.) The upper determinant strength test (arm muscles) got an average push up result: 20.83 in a good category, 6.) The explosive power test which scored an average vertical jump: 37.33 in the poor category, 7.) The agility test which scored an average shuttle run result: 13.71 in very good category, 8.) The endurance test which scored an average run result of 1600 M: 11.15 in the very good category. According to the test results, the physical condition of the women's volleyball PORPROV athletes in Banyumas Regency is quite proficient, but there are still some components of physical condition that resulted poorly such as flexibility, coordination, explosive power and endurance. Four components possessed significant relevance to team performance and techniques in volleyball such as serve, smash, block, and dig, so that they can affect the team's performance in a match.

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Section: Introductionmentioning

confidence: 99%

“…Achieving the optimal level of performance has been a big challenge and the primary purpose for many athletes at any level (Hribernik et al, 2021;Xiang et al, 2018). Various technologies and exercises can help athletes reach their personal best (Hribernik et al, 2021). Moreover, according to a Motor Control theory, professional performance means accurate programming of movements during the last stage of preparation to work out (Keele, 1968).…”

Section: Introductionmentioning

confidence: 99%

New Method to Assess and Enhance Athletes’ Performance Based on Muscle Synergy Patterns: A New Approach to Design a Biofeedback Training Scheme

Torbati

Gholibeigi²,

Jami³

2022

EJSPORT

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Objectives: There has been a big challenge for athletes at any level to reach their ultimate performance. According to a Motor Control theory, accurate programming of movements during the last stage of preparation to work out can improve athletes' performance. So, this study aims to design a performance analysis method that can be used to classify athletes and give them feedback during exercise. In this way, athletes and coaches can consider exercise schemes to modify and ameliorate athletes' performance. Methods: The participants were made up of 20 men between 25 to 30 years old. These subjects include ten professional football players and ten amateur football players. The same trials in 6 successive days were done by all athletes, both professional and amateur. Two different types of conditions were designed for all participants. In the first three days, subjects were asked to shoot a penalty kick (football player) 10 times in an actual situation like what they do in a competition. These procedures were done in the simulation condition, in the next three days designed by the computer (Xbox). Surface electromyography (sEMG) was recorded from the gastrocnemius and tibialis anterior muscles during trials. Results: Results showed the maximum error between basis vectors in all of the professional subjects in each situation, real and game, were 0.48 and 0.37, respectively (Mean square error index), which are very low relative to the range of data (5.1). In contrast, the minimum error among amateurs in each situation was 13.18 and 18.72, which are a high amount compared with the range of data (7). Discussion: Professional athletes always, in both situations, use their muscles in the same way. In fact, professional athletes' muscles follow specific patterns due to slight errors, while amateurs' muscles do not.

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Sensor Based Agility Assessment in Sport

Cited by 7 publications

References 12 publications

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

The relevance of physical conditions to team performance: A case study of PORPROV women's volleyball athletes in Banyumas regency

New Method to Assess and Enhance Athletes’ Performance Based on Muscle Synergy Patterns: A New Approach to Design a Biofeedback Training Scheme

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