Yasuhiro Hashimoto
Biographic Data
| ID | 3748455 |
|---|---|
| NAME | Yasuhiro Hashimoto |
| GIVEN NAMES | Yasuhiro |
| FAMILY NAME | Hashimoto |
| SIGNATURE | HASHIMOTO Y |
| AFFILIATIONS | Osaka Metropolitan University |
| ORCID | 0000-0001-9240-9150 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
The relationship between pitching parameters and release points of different pitch types in major league baseball players
ObjectivesThe purpose of this study was to deepen our understanding of pitches and to obtain basic knowledge about pitches by comparing 4-seam and other pitches in Major League Baseball (MLB).MethodsWe analyzed big data for 1,820 professional baseball pitchers of MLB on release speed, spin rate, release point 3D coordinates (X, Y, and Z axes), amount of change for 4-seam, and seven changing ball types (sinker, slider, changeup, cutter, curve, spl…
Performance-environment mutual flow model using big data on baseball pitchers
IntroductionThe study investigated the baseball pitching performance in terms of release speed, spin rate, and 3D coordinate data of the release point depending on the ball and strike counts.MethodsWe used open data provided on the official website of Major League Baseball (MLB), which included data related to 580 pitchers who pitched in the MLB between 2015 and 2019.ResultsThe results show that a higher ball count corresponds to a slower release…
Dynamic organization of flocking behaviors in a large-scale boids model
The relationship between pitching parameters and release points of different pitch types in major league baseball players
ObjectivesThe purpose of this study was to deepen our understanding of pitches and to obtain basic knowledge about pitches by comparing 4-seam and other pitches in Major League Baseball (MLB).MethodsWe analyzed big data for 1,820 professional baseball pitchers of MLB on release speed, spin rate, release point 3D coordinates (X, Y, and Z axes), amount of change for 4-seam, and seven changing ball types (sinker, slider, changeup, cutter, curve, spl…
Performance-environment mutual flow model using big data on baseball pitchers
IntroductionThe study investigated the baseball pitching performance in terms of release speed, spin rate, and 3D coordinate data of the release point depending on the ball and strike counts.MethodsWe used open data provided on the official website of Major League Baseball (MLB), which included data related to 580 pitchers who pitched in the MLB between 2015 and 2019.ResultsThe results show that a higher ball count corresponds to a slower release…
Dynamic organization of flocking behaviors in a large-scale boids model
Performance-environment mutual flow model using big data on baseball pitchers
IntroductionThe study investigated the baseball pitching performance in terms of release speed, spin rate, and 3D coordinate data of the release point depending on the ball and strike counts.MethodsWe used open data provided on the official website of Major League Baseball (MLB), which included data related to 580 pitchers who pitched in the MLB between 2015 and 2019.ResultsThe results show that a higher ball count corresponds to a slower release…
The relationship between pitching parameters and release points of different pitch types in major league baseball players
ObjectivesThe purpose of this study was to deepen our understanding of pitches and to obtain basic knowledge about pitches by comparing 4-seam and other pitches in Major League Baseball (MLB).MethodsWe analyzed big data for 1,820 professional baseball pitchers of MLB on release speed, spin rate, release point 3D coordinates (X, Y, and Z axes), amount of change for 4-seam, and seven changing ball types (sinker, slider, changeup, cutter, curve, spl…
Computer Science (2 works) · Mathematics (2 works) · Sports Analytics and Performance (2 works) · Sports Dynamics and Biomechanics (2 works) · Artificial Intelligence (1 work) · Ball (mathematics (1 work) · Big data (1 work) · Cartography (1 work) · Data mining (1 work) · Diffusion and Search Dynamics (1 work)