Browse State-of-the-Art › Hand Gesture Recognition
Hand Gesture Recognition
53 papers with code · 18 benchmarks · 16 datasets archive 2025-07-28
Hand gesture recognition (HGR) is a subarea of Computer Vision where the focus is on classifying a video or image containing a dynamic or static, respectively, hand gesture. In the static case, gestures are also generally called poses. HGR can also be performed with point cloud or joint hand data.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
18 leaderboard tables shown for this task, 18 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 18 until expanded.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
16 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 53 papers with code (198 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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29 Jan 2019 5 repositories listedWe evaluate our architecture on two publicly available datasets - EgoGesture and NVIDIA Dynamic Hand Gesture Datasets - which require temporal detection and classification of the performed hand gestures.
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24 Oct 2019 3 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedBased on this new large-scale dataset, we are able to experiment with several deep learning methods for word-level sign recognition and evaluate their performances in large scale scenarios.
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23 Jul 2019 3 repositories listedAlthough skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed.
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2 Dec 2024 2 repositories listedThis paper proposes the second version of the widespread Hand Gesture Recognition dataset HaGRID -- HaGRIDv2.
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14 Jun 2018 2 repositories listedWe propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions,…
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29 Mar 2025 1 repository listedThese elements aim to enhance the model's accuracy, robustness against noise and occlusion, and computational efficiency within real-world AAL contexts.
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23 Jan 2025 1 repository listedRecent advanced Virtual Reality (VR) headsets, such as the Apple Vision Pro, employ bottom-facing cameras to detect hand gestures and inputs, which offers users significant convenience in VR interactions.
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21 Jan 2025 1 repository listedHowever, existing GCN-based methods face critical limitations: (1) they lack effective spatio-temporal topology modeling that captures dynamic variations in skeletal motion, and (2) they struggle to model multiscale…
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11 Nov 2024 1 repository listedWe have considered this drawback of the transformer and designed a resource-efficient model that replaces the self-attention in the transformer with the simple convolutional layer-based token mixer.
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5 Sep 2024 1 repository listedIn this paper, we introduce a novel Multiscale Video Transformer Network (MVTN) for dynamic hand gesture recognition, since multiscale features can extract features with variable size, pose, and shape of hand which is a…
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19 Jul 2024 1 repository listedIn this paper, we introduce a large-scale isolated ISL dataset and a novel SL recognition model based on skeleton graph structure.
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19 Jul 2024 1 repository listedIn this work, we advocate the need for zero-shot underwater gesture recognition (ZSUGR), where the objective is to train a model with visual samples of gestures from a few ``seen'' classes only and transfer the gained…
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21 Jun 2024 1 repository listedThis study introduces a robust, skeleton-based framework for dynamic HGR that simplifies the recognition of dynamic hand gestures into a static image classification task, effectively reducing both hardware and…
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20 May 2024 1 repository listedWe introduce a neural network named PLEIADES (PoLynomial Expansion In Adaptive Distributed Event-based Systems), belonging to the TENNs (Temporal Neural Networks) architecture.
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18 May 2024 1 repository listedSo, we propose a novel GestFormer architecture for dynamic hand gesture recognition.
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14 May 2024 1 repository listedWe conduct an experimental evaluation using the SmartWatch Gesture and the Motion Gesture datasets.
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3 Apr 2024 1 repository listedMoreover, we show that our MHSA depth-first tiling scheme reduces the memory peak by up to 6.
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13 Nov 2023 1 repository listedIn the proposed CASTER simulator, however, the training dataset can be simulated via existing videos.
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23 Oct 2023 1 repository listedHand gesture recognition systems provide a natural way for humans to interact with computer systems.
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1 May 2023 1 repository listedThen, channel-dependent and temporal-dependent adjacency matrices corresponding to different channels and frames are calculated to capture the spatiotemporal dependencies between skeleton joints.
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12 Apr 2023 1 repository listedContinuous mid-air hand gesture recognition based on captured hand pose streams is fundamental for human-computer interaction, particularly in AR / VR.
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1 Apr 2023 1 repository listedWe compare a series of models specially tailored for small datasets to improve their performance on handshape recognition tasks.
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1 Jan 2023 1 repository listedOur sampling scheme outperforms SOTA methods significantly on two 3D skeleton gesture datasets, the publicly available SHREC 2017, and EgoGesture3D -- which we extract from a publicly available RGBD dataset.
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16 Dec 2022 1 repository listedSavings were defined as the number of additional observations required when a Deep Learning model is trained on new hand gestures instead of a Few Shot Learning model.
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29 Nov 2022 1 repository listedAdditionally, the CT-HGR framework can perform instantaneous recognition using sEMG image spatially composed from HD-sEMG signals.
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17 Jun 2022 1 repository listedExperiments against eight state-of-the-art methods show that TF-C outperforms baselines by 15.
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16 Jun 2022 1 repository listedThis paper introduces an enormous dataset, HaGRID (HAnd Gesture Recognition Image Dataset), to build a hand gesture recognition (HGR) system concentrating on interaction with devices to manage them.
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28 May 2022 1 repository listedOur architecture enables learning both static and dynamic gestures: by capturing a so-called "snapshot" of the gesture performance at its peak, we integrate the hand pose along with the dynamic movement.
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25 Jan 2022 1 repository listedThe proposed Vision Transformer-based Hand Gesture Recognition (ViT-HGR) framework can overcome the aforementioned training time problems and can accurately classify a large number of hand gestures from scratch without…
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6 Jan 2022 1 repository listedTo induce the global and local stream to capture complementary position and posture features, we propose the use of different 3D learning architectures in both streams.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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