Development of Skill Scoring System for Ski and Snowboard

Yamagiwa, Shinichi; Ohshima, Hiroyuki; Shirakawa, Kazuki

doi:10.1007/978-3-319-25249-0_1

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…The main purpose of the current study was to create a timeline that would facilitate the comparison of accuracy and precision between the different TS detection methodologies used in literature. All the methods analyzed show an accuracy within ± 0.25 s from the reference, with ten of them having an accuracy better than 0.05 s. The precision ranges from ~0.10 s to ~0.60 s. The TS methodologies with the best combined accuracy and precision are Klous Video [ 8 ], Spörri PI [ 36 ], Martinez MCS and CTD [ 9 ], and Yamagiwa IMU [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

“…This modelling is based on the assumption that the neutral position of the pendulum occurs during the straight skiing moment between consecutive turns. Consequently, it would correspond with the instant of maximum angular velocity in the roll angle (Martinez CTD [ 43 ]), of zero lateral acceleration (Yamagiwa IMU [ 27 ]), of zero angular velocity in the yaw angle (Martinez Yaw CTD), and of zero angle with respect to the vertical (Yu IMU [ 28 ]). Among the methodologies based on the inverted pendulum concept, Martinez CTD and Yamagiwa IMU performed best.…”

Section: Discussionmentioning

confidence: 99%

“…In summary, the selection of a TS detection methodology can be adapted to different requirements, such as sensor type, turn style, and ease of use. Yamagiwa [ 27 ] and Martinez CTD [ 43 ] would be the best methods when using IMUs, and the specific method selection could be based on the sensor placement or the type of IMU available. Spörri [ 36 ] and Nakazato [ 34 ] perform best among the kinetic methods.…”

Section: Discussionmentioning

confidence: 99%

“…However, the use of IMUs is not limited to modeling the movement of the whole body during skiing. For instance, events based on the lateral acceleration of the trunk [ 27 ], the inclination of the pelvis [ 28 ], or the angular velocity of the boot [ 9 ] have also been used to define TS. Position sensors (GNSS) used singularly can also approximate TS points using the head or the calculated CoM trajectories as defining signals [ 29 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Comparison and Validation of Published Methods to Detect Turn Switch during Alpine Skiing

Martínez

Snyder

Moore

et al. 2021

Sensors

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The instant of turn switch (TS) in alpine skiing has been assessed with a variety of sensors and TS concepts. Despite many published methodologies, it is unclear which is best or how comparable they are. This study aimed to facilitate the process of choosing a TS method by evaluating the accuracy and precision of the methodologies previously used in literature and to assess the influence of the sensor type. Optoelectronic motion capture, inertial measurement units, pressure insoles, portable force plates, and electromyography signals were recorded during indoor treadmill skiing. All TS methodologies were replicated as stated in their respective publications. The method proposed by Supej assessed with optoelectronic motion capture was used as a comparison reference. TS time differences between the reference and each methodology were used to assess accuracy and precision. All the methods analyzed showed an accuracy within 0.25 s, and ten of them within 0.05 s. The precision ranged from ~0.10 s to ~0.60 s. The TS methodologies with the best performance (accuracy and precision) were Klous Video, Spörri PI (pressure insoles), Martinez CTD (connected boot), and Yamagiwa IMU (inertial measurement unit). In the future, the specific TS methodology should be chosen with respect to sensor selection, performance, and intended purpose.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Comparison and Validation of Published Methods to Detect Turn Switch during Alpine Skiing

Martínez

Snyder

Moore

et al. 2021

Sensors

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“…This also depends on personal interactions. To eliminate the interaction, methods to measure skills objectively by using inertial sensors have been proposed such as [ 7 ]. The method statistically compares between performances of advanced athletes and novices, and defines equations for the models for comparing numerically the target movements.…”

Section: Introductionmentioning

confidence: 99%

Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo

Kato

Yamagiwa

2021

Sensors

Self Cite

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Many methods such as biomechanics and coaching have been proposed to help people learn a certain movement. There have been proposals for methods to discover characteristics of movement based on information obtained from videos and sensors. Especially in sports, it is expected that these methods can provide hints to improve movement skills. However, conventional methods focus on individual movements, and do not consider cases where external factors influence the movement, such as combat sports. In this paper, we propose a novel method called the Extraction for Successful Movement method (XSM method). Applying the method, this paper focuses on throwing techniques in judo to discover key factors that induce successful throwing from the postures right before initiating the throwing techniques. We define candidate factors by observing the video scenes where the throwing techniques are successfully performed. The method demonstrates the significance of the key factors according to the predominance of factors by χ2 test and residual analysis. Applying the XSM method to the dataset obtained from the videos of the Judo World Championships, we demonstrate the validity of the method with discussing the key factors related to the successful throwing techniques.

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Oyunlaştirmada Oyun Elemanlarinin Kullanimi: Adidas Micoach, Khan Academy, Superbetter Ve Swarm Uygulamalarinin Örnek Olay Yöntemi̇ İle İncelenmesi̇

Sever¹,

Bical²

2018

Erciyes İletişim Dergisi

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Öz Bu çalışma, oyun elemanlarının oyunlaştırmada kullanımına odaklanmaktadır. Oyunlaştırma, oyun tasarım unsurları (elemanları) ve esaslarının gerçek dünyaya ve oyun olmayan içeriğe aktarılmasıdır. Bu açıdan oyun elemanları oyunlaştırmanın temelini teşkil etmektedir. Oyun literatüründe oyun sistemini meydana getiren parçalar olarak ifade edilen oyun elemanları ile ilgili çok az ampirik çalışma bulunmaktadır. Oyunlaştırmaya dönük çalışmalar ise, daha başlangıç aşamasında olup, bu konuda kurumsal bir çerçevenin eksikliği hissedilmektedir. Bu doğrultuda bu çalışmada oyun elemanlarının oyunlaştırmada kullanımı dört örnek olay üzerinden incelenerek; oyun elemanlarının varlığı, birbirleri ile etkileşimi ve uygulamalarda kullanım biçimleri incelenmiştir. Çalışmada öncelikle oyun elemanlarının neler olduğu, literatür araştırmasında ortaya koyulmuş ve araştırma bölümünde elde edilen bilgiler ile geliştirilmiştir. Konuyu derinlemesine inceleme imkanı verdiği için çalışmada nitel örnek olay incelemesi yöntemi tercih edilmiştir. Uygulamalar arasında karşılaştırma yapabilme imkanı tanıdığı için dört farklı kategoride oyunlaştırma uygulaması araştırmaya dahil edilmiştir. Araştırma sonunda elde edilen bulgular çerçevesinde dört uygulamada da birçok oyun elemanının bulunduğu ancak gözlemlenen oyun elemanlarının tüm uygulamalarda aynı oranda kullanılmadığı, bazılarının daha çok öne çıktığı görülmüştür. Bunun yanı sıra oyun elemanlarının birbirleri ile ilişkili biçimde işlediği ve oyunlaştırmayı birçok parçadan oluşan bir bütün olarak yansıttıkları tespit edilmiştir.

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Development of Skill Scoring System for Ski and Snowboard

Cited by 4 publications

References 3 publications

A Comprehensive Comparison and Validation of Published Methods to Detect Turn Switch during Alpine Skiing

A Comprehensive Comparison and Validation of Published Methods to Detect Turn Switch during Alpine Skiing

Statistical Extraction Method for Revealing Key Factors from Posture before Initiating Successful Throwing Technique in Judo

Oyunlaştirmada Oyun Elemanlarinin Kullanimi: Adidas Micoach, Khan Academy, Superbetter Ve Swarm Uygulamalarinin Örnek Olay Yöntemi̇ İle İncelenmesi̇

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