Hitoshi Toda

Mie Prefectural Police

Papers

2

Total Citations

28

H-Index

2

About

Hitoshi Toda is a researcher whose work lies at the intersection of biomechanics and human motion analysis, with a particular focus on the nuanced mechanics of gait. His primary research area centers on understanding how humans naturally navigate their environment, specifically the complex dynamics of turning and curving motions. Toda’s major contributions include the development of computational models that classify and analyze the natural corner curving motion of humans based on gait data. His 2017 study, which has garnered 15 citations, is notable for its innovative approach to a previously under-researched area: the variability and complexity of turning in real-world settings. By recording and analyzing diverse gait motions—from straight walks to round-corner and circular paths—and applying factor analysis, Toda successfully identified key patterns that govern these movements. This work provides a foundational framework for applications in robotics, rehabilitation, and virtual reality, where realistic human motion is critical. With over 28 citations across his most-cited papers, Toda’s research stands as a significant step toward bridging the gap between controlled laboratory studies and the unpredictable nature of actual human locomotion.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Classification and analysis of the natural corner curving motion of humans based on gait motion
15 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Mie Prefectural Police

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago