Gait Pattern Synthesis

Gait Pattern Synthesis is a computational method that generates coordinated sequences of limb movements by modeling the spatiotemporal dynamics of locomotion, distinguishing itself from related gait modeling approaches through its focus on creating novel, context-adaptive walking patterns rather than replicating observed biometric data.

86

Publications

5K

Citations

292

Authors

122

Institutions

Publications per year

2017–2026

20

Authors

292

  1. SK
    Shuuji Kajita

    National Institute of Advanced Industrial Science and Technology, Japan

    5 publications · 304 citations

    5

    h-index

  2. KK
    Kenji Kaneko

    National Institute of Advanced Industrial Science and Technology, Japan

    5 publications · 304 citations

    5

    h-index

  3. FK
    Fumio Kanehiro

    National Institute of Advanced Industrial Science and Technology, Japan

    3 publications · 236 citations

    3

    h-index

  4. MM
    Mitsuharu Morisawa

    National Institute of Advanced Industrial Science and Technology, Japan

    3 publications · 236 citations

    3

    h-index

  5. HB
    H. B. Lim

    Nanyang Technological University, Singapore

    3 publications · 50 citations

    3

    h-index

1–5 of 292

Venues

  1. 3

    h-index

  2. The International Journal of Robotics Research

    IJRR · 3 publications · 247 citations

    3

    h-index

  3. Biological Cybernetics

    2 publications · 152 citations

    2

    h-index

  4. Journal of Bionic Engineering

    2 publications · 63 citations

    2

    h-index

  5. 2

    h-index

1–5