Papers › ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware...

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

2 Mar 2020arXiv:2003.01062archive 2025-07-28

Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera

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. To classify emotions, we propose a multi-view skeleton graph convolution-based model that works on a commodity camera mounted onto a moving robot. Our emotion recognition is integrated into a mapless navigation scheme and makes no assumptions about the environment of pedestrian motion. It achieves a mean average emotion prediction precision of 82.47% on the Emotion-Gait benchmark dataset. We outperform current state-of-art algorithms for emotion recognition from 3D gaits. We highlight its benefits in terms of navigation in indoor scenes using a Clearpath Jackal robot.

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Code

vijay4313/proxemo officialmentioned on GitHubpytorch report

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Tasks

Emotion ClassificationEmotion RecognitionGesture RecognitionPose EstimationRobot Navigation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Emotion Classification EWALK ProxEmo (ours) Accuracy 82.4 #1 of 3 Archive leaderboard report
Emotion Classification EWALK STEP [bhattacharya2019step] Accuracy 78.24 #2 of 3 Archive leaderboard report
Emotion Classification EWALK Baseline (Vanilla LSTM) [Ewalk] Accuracy 55.47 #3 of 3 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

1x1 ConvolutionConvolutionGrouped Convolution

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