Automated gait assessment models are usually specialized to clinical populations and sensor settings due to the limited size and diversity of available datasets. Simulation-based synthetic data of musculoskeletal gaits boosts dataset size and diversity, enabling more accurate and versatile gait analysis models that can be applied across diverse settings.
- Yasunori Yamada
- Masatomo Kobayashi
- Tetsuaki Arai
