Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting
2021-10-10Code Available0· sign in to hype
Luca Hermes, Barbara Hammer, Malte Schilling
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/LucaHermes/lightweight-motion-forecastingOfficialIn papertf★ 4
Abstract
Prediction of movements is essential for successful cooperation with intelligent systems. We propose a model that integrates organized spatial information as given through the moving body's skeletal structure. This inherent structure is exploited in our model through application of Graph Convolutions and we demonstrate how this allows leveraging the structured spatial information into competitive predictions that are based on a lightweight model that requires a comparatively small number of parameters.