Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
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Abstract (arXiv)
Hand trajectory forecasting from egocentric views is crucial for enabling a prompt understanding of human intentions when interacting with AR/VR systems. However, existing methods handle this problem in a 2D image space which is inadequate for 3D real-world applications. In this paper, we set up an egocentric 3D hand trajectory forecasting task that aims to predict hand trajectories in a 3D space from early observed RGB videos in a first-person view. To fulfill this goal, we propose an uncertainty-aware state space Transformer (USST) that takes the merits of the attention mechanism and aleatoric uncertainty within the framework of the classical state-space model. The model can be further enhanced by the velocity constraint and visual prompt tuning (VPT) on large vision transformers. Moreover, we develop an annotation workflow to collect 3D hand trajectories with high quality. Experimental results on H2O and EgoPAT3D datasets demonstrate the superiority of USST for both 2D and 3D trajectory forecasting. The code and datasets are publicly released: https://actionlab-cv.github.io/EgoHandTrajPred.
Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 42 of its 55 references that are in the map. First posted on arXiv 17 Jul 2023.
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42 of 55 references.
References · 42
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Citing papers per year: 2023: 1; 2024: 8; 2025: 14; 2026: 10.
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- 2026Spatially Prompted Visual Trajectory Prediction for Egocentric Manipulation19 May 2026
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- 2025Uncertainty Aware-Predictive Control Barrier Functions: Safer Human Robot Interaction through Probabilistic Motion Forecasting28 Aug 2025
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- 2025Perceiving and Acting in First-Person: A Dataset and Benchmark for Egocentric Human-Object-Human Interactions6 Aug 2025
- 2025Zero-Shot Temporal Interaction Localization for Egocentric Videos4 Jun 2025
- 2025Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision4 Jun 2025
- 2025The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation11 Apr 2025
- 2025Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction10 Apr 2025
- 2025Challenges and Trends in Egocentric Vision: A Survey19 Mar 2025
- 2024HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction17 Dec 2024
- 2024EAGLE: Egocentric AGgregated Language-video Engine26 Sep 2024
- 2024MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos4 Sep 2024
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- 2024Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos7 May 2024
- 2024General Flow as Foundation Affordance for Scalable Robot Learning21 Jan 2024
- 2023Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling29 Nov 2023
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- 2025Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Visioncited by 11
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- 2026From Where to How: Continuous 4D Interaction Forecasting from Egocentric Video8 Sep 2026
- 2026Exo2EgoPose: Leveraging Exocentric Demonstrations for Vision-Language guided Egocentric 3D Hand Pose Forecasting17 Jul 2026
- 2026Spatially Prompted Visual Trajectory Prediction for Egocentric Manipulation19 May 2026
- 2026EggHand: A Multimodal Foundation Model for Egocentric Hand Pose Forecasting8 May 2026
- 2026Int3DNet: Scene-Motion Cross Attention Network for 3D Intention Prediction in Mixed Reality9 Mar 2026
- 2026Integrating Affordances and Attention models for Short-Term Object Interaction Anticipation16 Feb 2026
- 2025Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos18 Dec 2025
- 2025Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span23 Nov 2025
- 2025SFHand: Learning Embodied Manipulation by Streaming Egocentric 3D Hand Forecasting22 Nov 2025
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