Yuki Inaba

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Japan Institute of Sports Sciences · Department of Sports Science
The aim of this study was to clarify the characteristics of skiing by a single-leg amputee ski racer from the viewpoints of muscle activity, morphology, and the relationship between both elements through comparisons with those of a non-disabled ski racer. One elite athlete, classified as LW2 (left thigh amputation), and one non-disabled athlete, as...
This study had two objectives: (a) revealing kinetic parameter differences at the fingers during a fastball and curveball, and (b) examining timing control between the wrist and finger torques. The participants were eight baseball pitchers. The kinetics of the wrist and fingers were calculated using an inverse dynamics method. The peak torque and w...
Typical anticipatory postural adjustments (APAs) in forward gait or step initiation tasks to prepare for possible disturbances caused by prime voluntary movements and to accelerate the body forward have been previously reported. However, it is not clear how wide the variations in step directions are differentiated and controlled in non-forward step...
In a rally of table tennis between top players, the player frequently hits the ball strongly so as not to give the opponent more time. In addition, the opponent aims at a position that is difficult to return, and the player needs to hit the ball with high speed and at a high spin ratio according to the position of the ball at impact. However, an ef...
In table tennis rallies between elite players, rapid swing movements must be achieved in a posture that is difficult to maintain while maintaining body agility. Players are required to have both a high racket speed and quick swing ability. On the other hand, a large movable range during a back swing may be disadvantageous for realizing a rapid, hig...
The aim of this study was to clarify the strategy used by basketball players during free-throw shooting to improve performance in the presence of motor noise. Two possible hypotheses were examined: the players minimize the release speed to decrease signal-dependent noise or the players maximize the shot success probability by accounting for their v...
Understanding biological network dynamics is a fundamental issue in various scientific and engineering fields. Network theory is capable of revealing the relationship between elements and their propagation; however, for complex collective motions, the network properties often transiently and complexly change. A fundamental question addressed here p...
Image-based sports analytics enable automatic retrieval of key events in a game to speed up the analytics process for human experts. However, most existing methods focus on structured television broadcast video datasets with a straight and fixed camera having minimum variability in the capturing pose. In this paper, we study the case of event detec...
Flight time is widely used to calculate jump height because of its simple and inexpensive application. However, this method is known to give different results than the calculation from vertical velocity at takeoff. The purpose of this study is to quantify the effect of postural changes between takeoff and landing on the jump height from flight time...
Image-based sports analytics enable automatic retrieval of key events in a game to speed up the analytics process for human experts. However, most existing methods focus on structured television broadcast video datasets with a straight and fixed camera having minimum variability in the capturing pose. In this paper, we study the case of event detec...
How humans execute accurate movement in the presence of motor noise is a key problem in the field of biomechanics and motor control that limits the performance improvement in daily or sporting activities. The aim of this study was to clarify the strategy of basketball players during free-throw shooting. Two possible hypotheses were examined: the pl...
In table tennis rallies between elite players, rapid swing movements must be achieved in a posture that is difficult to maintain while maintaining body agility. Players are required to have both a high racket speed and quick swing ability. On the other hand, a large movable range during a back swing may be disadvantageous for realizing a rapid, hig...
Understanding complex network dynamics is a fundamental issue in various scientific and engineering fields. Network theory is capable of revealing the relationship between elements and their propagation; however, for complex collective motions, the network properties often transiently and complexly change. A fundamental question addressed here pert...
The purpose of this study was to establish the computational method to decide optimal release parameters by assessing the influence of selection of release parameters on the success rate of jump shots. The shooting performances from the free-throw (FT) and three-point (3P) lines of ten male collegiate basketball players were recorded using three-di...
This study aims to examine the mechanism how ball spin rate is controlled by fingers torque and power during fastball and curveball pitches. Participants were eight baseball players. Finger kinetics was calculated by an inverse dynamics method. In fastball pitch, peak fingers flexion torque and its power in high spin rate pitchers was smaller than...
Understanding multi-agent cooperative behavior is challenging in various scientific and engineering domains. In some cases, such as team sports, many cooperative behaviors can be visually categorized and labeled manually by experts. However, these actions which are manually categorized with the same label based on its function have low spatiotempor...
Signal, action and segmentation.
The action interval is defined as the interval from 13 frames before and after the minimum distance between the candidate screener and user-defender during the signal.
(TIF)
Confusion matrix of off-ball screen-play classification.
This shows the results of off-ball screen-play classification. A row indicates correct play (visually classified) and a column indicates predicted play (classified by SVM). The diagonal elements represent correct classifications, and the other elements represent misclassifications.
(TIF)
Categorization of screen area and three-player angles.
(a) The screen area is categorized into nine screener position areas. (b) The three-player angles are defined by the user (two candidates), screener and user-defender angles.
(TIF)
The representative example of down screen.
Red, magenta, blue and orange figure represent the screener, user, defense of user and the ball, respectively.
(MP4)
The representative example of back screen.
Explanation are the same as S1 Fig.
(MP4)
Player movements and variation in various screen-plays.
(a-h) Three representative examples of players and ball movements for the eight types of screen-plays. Symbols are the same as Fig 4. From a to h, they show down, flare, back, cross, pin, flex (off-ball), pick-and-roll, and hand-off (on-ball) screen-plays, respectively.
(TIF)
Movement in correct and incorrect classifications.
These images show examples of players and ball movement in correct and incorrect classifications. Symbols are the same as Fig 4. The left and center figures represent back screen and flare screen which were classified correctly. The right figure represents misclassification. This movement was class...
The representative example of flare screen.
Explanation are the same as S1 Fig.
(MP4)
The representative example of cross screen.
Explanation are the same as S1 Fig.
(MP4)
The representative example of pick-and-roll screen.
Explanation are the same as S1 Fig.
(MP4)
The representative example of hand-off screen.
Explanation are the same as S1 Fig.
(MP4)
The representative example of pin screen.
Explanation are the same as S1 Fig.
(MP4)
The representative example of flex screen.
Explanation are the same as S1 Fig.
(MP4)
Modeling the complex collective behavior is a challenging issue in several material and life sciences. The collective motion has been usually modeled by simple interaction rules and explained by global statistics. However, it remains difficult to bridge the gap between the dynamic properties of the complex interaction and the emerging group-level f...
Additional results of DMD with reproducing kernels.
Additional results of DMD with reproducing kernels for basketball data are described.
(DOCX)
Distance matrices for fish-schooling model.
Distance matrices (A) with fixed arrays among individuals and (B) of the nearest individuals at each time for fish-schooling model simulation data are shown.
(TIF)
Time series for fish-schooling model.
Three types of distance matrices for three fish-schooling model simulation behavior are shown.
(TIF)
Spatiotemporal DMD mode without boundary condition.
Configurations are the same as Fig 2 right (in boundary condition). The temporal DMD modes (A, D, G) are shown in the spectra as a function of temporal frequency. Using the results of the frequency spectra (A, D, G), we separated the spatial modes into low (0.5–1.5 Hz: B, E, H) and high (2–3 Hz: C...
Transverse dynamic structure factor in the boundary condition.
Configuration is the same as Fig 3 (longitudinal dynamic structure factor).
(TIF)
Typical time series in basketball data.
Three types of typical time series in basketball data we analyzed are shown.
(TIF)
Embedding of the DMD in the fish-schooling model.
The rightmost (D) is the comparable result using the existing parameters specific in the biological group behavior.
(TIF)
DMD spectrum using fixed distance series and xy coordinates.
Configurations are the same as Fig 2 right (using the nearest distance).
(TIF)
Reconstruction error in DMD using various input matrices.
Reconstruction error in DMD using three types of distance matrices for three fish-schooling model simulation behavior are shown.
(TIF)
A typical example of the false negative in score prediction.
The prediction is performed based on the best classifier in this study. In this example, the defenders performed good defense but the shot was successfully made.
(MP4)
Empirical examples of nonlinear oscillator system.
Nonlinear oscillator system we used is described.
(DOCX)
Reconstruction error in DMD and that with reproducing kernel.
The horizontal axis is the same as Fig 5 (classification error). The reconstruction error of the input matrices with respect to the Euclid distance and Cartesian coordinates for the original DMD were too large to plot.
(TIF)
Values for each parameter in schooling model.
Values for each parameter used in schooling model simulation are described.
(DOCX)
Torus behavior in schooling model.
Time series are the same as S2 Fig.
(MP4)
Parallel behavior in schooling model.
Time series are the same as S2 Fig.
(MP4)
A typical example of the true negative in score prediction.
The prediction is performed based on the best classifier in this study. In this example, the defenders performed good defense and the attacker missed the shot.
(MP4)
Additional results of DMD.
Additional results of DMD for fish-schooling model simulation data are described.
(DOCX)
Dynamic structure factor without boundary.
Configuration is the same as Fig 3 (in boundary condition).
(TIF)
Prediction results in two classifiers.
Configuration is the same as Fig 5 (Naive Bayes classifier).
(TIF)
Embedding of the kernel of the DMD.
Configurations are the same as Fig 4 right (DMD with reproducing kernel). The spectral kernel using only one distance was not be computed because of its low expressiveness.
(TIF)
Swarm behavior in schooling model.
Time series are the same as S2 Fig.
(MP4)
A typical example of the true positive in score prediction.
The prediction is performed based on the best classifier in this study. In this example, the attackers created the shot chance and made the shot successfully.
(MP4)
Basketball attacking segment.
Time series are the same as S8 Fig. Only four important distances are visualized (colors are same as Fig 4).
(MP4)
A typical example of the false positive in score prediction.
The prediction is performed based on the best classifier in this study. In this example, the attackers created the chance but missed the shot.
(MP4)
This study had two objectives: (a) revealing the difference in finger segments between the conventional and finger models during aimed throwing and (b) examining the central nervous system's timing control between the wrist torque and finger torque. Participants were seven baseball players. Finger kinetics was calculated by an inverse dynamics meth...
Since clubface orientation at impact affects ball direction and ball spin, the ability to control clubface orientation is one of the most important skills for golfers. This study presents a new method to describe clubface orientation as a function of the clubshaft motions (i.e., swing plane orientation, clubshaft angle in the swing plane, and clubs...
The official material used in table tennis balls was changed from celluloid to plastic, a material free of celluloid, in 2014. The purpose of this study was to understand the differences and similarities in the two types of ball materials by comparing their behavior upon collision with a table. The behavior of the balls before and after collision w...
PURPOSE:: Landing technique is an important factor influencing jump performance in landing-to-jump movement (L-J). This study examined the effects of short-term landing training on jump performance in L-J. We hypothesized that landing training without jumping decreases landing impact and increases jump height in L-J. METHOD:: Twenty healthy adult m...
Lateral quickness is a crucial component of many sports. However, biomechanical factors which contribute to quickness in lateral movements have not been understood well. Thus, the purpose of this study was to quantify three dimensional kinetics of hip, knee, and ankle joints inside steps to understand the function of lower extremity muscle groups....
This study aimed to clarify how the activities of trunk and lower limb muscles during a landing-to-jump (L-J) movement are coordinated to perform the task effectively. Electromyography (EMG) activities of trunk and lower limb muscles as well as kinematic and ground reaction force data were recorded while 17 subjects performed 5 L-Js from a height o...
This study aimed to investigate the activity patterns of trunk and lower limb muscles during impact-absorbing landing. Electromyogram activities of the trunk and lower limb muscles along with kinematic and ground reaction forces were measured while subjects (n=17) performed 10 landings from a height of 35 cm. Landing motions were divided into three...
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