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Marco Keller

2 accepted papers

2024

SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data

ICRA 2024poster

Synthetic data generation is a proven method for augmenting training sets without the need for extensive setups, yet its application in human activity recognition is underexplored. This is particularly crucial for human-robot collaboration in household settings, where data collection is often privac…

Cited by 3SourceScholar