Spectral Graph Skeletons for 3D Action Recognition

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Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “[147] Spectral Graph Skeletons Conc Lowlv Hand X X X”
3D skeleton-based human action classification: A survey (2016, methodology): “We further note that such kind of evaluation may pose some challenges for works such as [102,99,103,100], which use a pyramidal approach and need to see the whole sequence for recognizing the action.”
WALKING WALKing walking: Action Recognition from Action Echoes (2017, unknown): “…et al. , 2014] 92.46 DHMM+SL [Lo Presti et al. , 2015] 92.91 Random Forest+depth [Zhu et al. , 2013] 94.30 Hierarchical LSTM [Du et al. , 2015] 94.49 SGWT+SVM [Kerola et al. , 2014] 94.77 DMMs+Fisher vectors [Chen and Liu, 2016] 95.97 Gram matrices Representations [Zhang et al. , 2016] 96 5.”