Automated gap-filling algorithm for kinetic data of finger movement: Pianist hand motion cleaning using spatio-temporal imputation

In one sentence

A cleaning framework that fills gaps in marker-based pianist finger motion capture with spatio-temporal imputation, without an explicit hand model.

Key facts

• 86 trials (~20 s each) of one pianist; 54 reflective markers on both hands; 8 infrared cameras at 120 Hz

When this paper is relevant

• You need to fix marker occlusion / missing data in finger motion capture
• You look for preprocessing methods for piano-performance kinematics

Related

• Statistical Analysis of Piano Performance Hand Motion Data and Deep Learning Model for Loss Recovery (2025)
• SKY-Piano: A Multimodal Piano Performance Dataset (2026)

Cite

T. Kwon, D. Park, Joonhyung Bae, J. Park, J. Park, J. Nam (2023). Automated gap-filling algorithm for kinetic data of finger movement: Pianist hand motion cleaning using spatio-temporal imputation. Proc. 29th Congr. of the Int. Soc. of Biomechanics (ISB), Fukuoka, Japan, Jul. 30–Aug. 3, 2023. https://drive.google.com/file/d/1dMbKaVXMLA1oNDtJSoyMnD0EQk29PEYN/view?usp=drive_link

@inproceedings{Kwon2023finger,
  title = {Automated gap-filling algorithm for kinetic data of finger movement: Pianist hand motion cleaning using spatio-temporal imputation},
  author = {T. Kwon and D. Park and Joonhyung Bae and J. Park and J. Park and J. Nam},
  booktitle = {Proc. 29th Congr. of the Int. Soc. of Biomechanics (ISB), Fukuoka, Japan, Jul. 30–Aug. 3, 2023},
  year = {2023},
  url = {https://drive.google.com/file/d/1dMbKaVXMLA1oNDtJSoyMnD0EQk29PEYN/view?usp=drive_link}
}

Machine-readable copy: /papers/finger-motion-gap-filling-2023.md