ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation

We present ProxEmo, a novel end-to-end emotion prediction algorithm for socially aware robot navigation among pedestrians. Our approach predicts the perceived emotions of a pedestrian from walking gaits, which is then used for emotion-guided navigation taking into account social and proxemic constraints... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Emotion Classification EWALK ProxEmo (ours) Accuracy 82.4 # 1
Emotion Classification EWALK Baseline (Vanilla LSTM) [Ewalk] Accuracy 55.47 # 3
Emotion Classification EWALK STEP [bhattacharya2019step] Accuracy 78.24 # 2

Methods used in the Paper


METHOD TYPE
Convolution
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Grouped Convolution
Convolutions
1x1 Convolution
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