Showing 1 - 20 results of 35 for search 'error (baseball)', query time: 0.28s Refine Results
  1. 1

    Accuracy and Error Trends of Commercially Available Bat Swing Sensors in Baseball by Yoshitaka Morishita, Tsutomu Jinji

    Published 2022-02-01
    “…Significant systematic biases or proportional errors were found for all bat sensors, indicating the possibility of error correction. …”
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    Article
  2. 2

    Visual-Motor Control in Baseball Batting by Rob Gray

    Published 2011-05-01
    “…With margins for error of a few milliseconds and fractions of an inch it is not surprising that hitting a baseball is considered to be one of the most difficult acts in all of sports. …”
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    Article
  3. 3

    The Prediction of Batting Averages in Major League Baseball by Sarah R. Bailey, Jason Loeppky, Tim B. Swartz

    Published 2020-04-01
    “…The prediction of yearly batting averages in Major League Baseball is a notoriously difficult problem where standard errors using the well-known PECOTA (Player Empirical Comparison and Optimization Test Algorithm) system are roughly 20 points. …”
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    Investigation on the development of batting imagery in youth baseball players by Toshiharu Tsutsui, Toshihiro Maemichi, Satoshi Iizuka, Suguru Torii

    Published 2020-01-01
    “…The purpose of this study was to clarify the development pattern of batting imagery in youth baseball players. One hundred thirty-eight young baseball players (6–14 years old) were divided into 4 age groups. …”
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    Article
  6. 6

    Contribution of Visual Information about Ball Trajectory to Baseball Hitting Accuracy. by Takatoshi Higuchi, Tomoyuki Nagami, Hiroki Nakata, Masakazu Watanabe, Tadao Isaka, Kazuyuki Kanosue

    Published 2016-01-01
    “…The purpose of the present study was to examine the relationship between hitting accuracy and the segment of the trajectory of the flying ball that can be seen by the batter. Ten college baseball field players participated in the study. The systematic error and standardized variability of ball-bat contact on the bat coordinate system and pitcher-to-catcher direction when hitting a ball launched from a pitching machine were measured with or without visual occlusion and analyzed using analysis of variance. …”
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    Article
  7. 7

    An epidemiological study of health, injury, and long term outcomes in baseball players by Bullock, G

    Published 2021
    “…</p> <p>I developed and internally validated a humeral torsion prediction model on the same ten-year cohort of professional baseball pitchers. The prediction model demonstrated small error and excellent calibration. …”
    Thesis
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    Efficacy of Inertial Measurement Units in the Evaluation of Trunk and Hand Kinematics in Baseball Hitting by Niroshan G. Punchihewa, Shigeaki Miyazaki, Etsuo Chosa, Go Yamako

    Published 2020-12-01
    “…Baseball hitting is a highly dynamic activity, and advanced methods are required to accurately obtain biomechanical data. …”
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    Article
  9. 9

    Reappearance of change in time of rotation axis with simulation in baseball-type acceleration sensor by Rio HIYAMA, Hiroyuki NAGAOKA, Kazuhiro TSUBOI, Shigeho NODA, Ryutaro HIMENO

    Published 2021-06-01
    “…We develop an output simulator for a baseball-type acceleration sensor in which one three-axis sensor for low acceleration and three sensors for high acceleration are installed. …”
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    Article
  10. 10

    The association of sport participation behaviors with throwing-arm health in Little League Baseball pitchers by Eric G. Post, PhD, ATC, Michael D. Rosenthal, DSc, PT, Andrew T. Pennock, MD, Mitchell J. Rauh, PhD, PT, MPH, FACSM

    Published 2021-05-01
    “…Pitchers who reported traveling regularly for showcases scored worse on the YTS compared with those who did not travel regularly for showcase events (least square mean [standard error]: 51.0 [2.0] vs. 56.4 [0.9], P = .01). Conclusions: Pitching with pain or fatigue was associated with worse throwing-arm health in Little League baseball pitchers. …”
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  11. 11

    Precise 3D Baseball Pitching Trajectory Estimation Using Multiple Unsynchronized Cameras by Joongsik Kim, Moonsoo Ra, Hongjun Lee, Jeyeon Kim, Whoi-Yul Kim

    Published 2019-01-01
    “…We represented the movement of the baseball using a piece-wise spline model, and predicted the position of the baseball in the subframes in a manner which is robust to position error and change in direction of movement of the baseball. …”
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    Article
  12. 12

    You Can’t Think and Hit at the Same Time: Neural Correlates of Baseball Pitch Classification by Jason eSherwin, Jordan eMuraskin, Paul eSajda

    Published 2012-12-01
    “…Hitting a baseball is often described as the most difficult thing to do in sports. …”
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    Article
  13. 13

    Magnus-Forces Analysis of Pitched-Baseball Trajectories Using YOLOv3-Tiny Deep Learning Algorithm by Bor-Jiunn Wen, Che-Rui Chang, Chun-Wei Lan, Yi-Chen Zheng

    Published 2022-05-01
    “…This study analyzed the characteristics of pitched baseballs from TV broadcast videos to understand the effects of the Magnus force on a pitched-baseball trajectory using aerodynamic theory. …”
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    Article
  14. 14

    Difference in Personality Traits and Symptom Intensity According to the Trigger-Based Classification of Throwing Yips in Baseball Players by Toshiyuki Aoyama, Kazumichi Ae, Hiroto Souma, Kazuhiro Miyata, Kazuhiro Kajita, Kazuhiro Kajita, Takashi Kawamura, Koichi Iwai

    Published 2021-08-01
    “…This study aims to obtain insight into the prevention of yips by clarifying whether there are differences in symptoms and personality traits according to a trigger-based classification of yips in baseball players. A total of 107 college baseball players responded to a questionnaire assessing the presence or absence of yips and its symptoms. …”
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    Article
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    Does the combination of different pitches and the absence of pitch type information influence timing control during batting in baseball? by Shuji Kidokoro, Yuji Matsuzaki, Ryota Akagi

    Published 2020-01-01
    “…This study examined 1) effectiveness of pitch type combinations, and 2) relationship between the presence and absence of advance information about the next pitch and the timing error. Twenty-six high school baseball players hit a ball launched from a pitching machine in a combination of fastballs (34.3±1.3 m·s-1), curveballs (25.4±1.0 m·s-1), and slowballs (25.5±0.9 m·s-1). …”
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    Test-retest reliability of power, pinch, and tripod grip strengths in male baseball players: a preliminary study by Wonil Park, Donghyun Lee, HangUk Cheon, Kwangseok Hong

    Published 2023-08-01
    “…This study concluded that the studied grip strength tests are reliable measurements, with an acceptable margin of error, for male baseball players from childhood to adulthood. …”
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    Article
  17. 17

    An Exploratory Investigation Evaluating the Impact of Fatigue-Induced Stride Length Compensations on Ankle Biomechanics among Skilled Baseball Pitchers by Ryan L. Crotin, Dan K. Ramsey

    Published 2023-04-01
    “…Altered propulsive and bracing ground reaction forces from lower-body fatigue significantly impact stride length to increase weakness in dynamic elbow stabilizers and risk of medial elbow injury in baseball pitchers. This work investigated altered stride length on three-dimensional ankle joint dynamics to illustrate fatigue-induced changes in ankle motion that can also be impacted by coaching errors. …”
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  18. 18

    Prediction error induced motor contagions in human behaviors by Tsuyoshi Ikegami, Gowrishankar Ganesh, Tatsuya Takeuchi, Hiroki Nakamoto

    Published 2018-05-01
    “…In two experiments, one on whole-body baseball pitching and another on simple arm reaching, we show that the observation of the same action induces distinct motor contagions, depending on whether prediction errors are present or not. …”
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    Error-related negativity predicts failure in competitive dual-player video games. by Yusuke Yokota, Takahiro Soshi, Yasushi Naruse

    Published 2019-01-01
    “…Furthermore, the error-related negativity was modulated according to who was winning and by how much. …”
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    Article
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