Browse State-of-the-Art › Gesture Recognition

Gesture Recognition

149 papers with code · 13 benchmarks · 15 datasets archive 2025-07-28

Computer Vision

Gesture Recognition is an active field of research with applications such as automatic recognition of sign language, interaction of humans and robots or for new ways of controlling video games.

Source: Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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 13 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
DVS128 Gesture (14 rows) TENNs-PLEIADES TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials code — Compare
CapgMyo DB-a (1 row) 2SRNN Domain Adaptation for sEMG-based Gesture Recognition with... code — Compare
CapgMyo DB-b (1 row) 2SRNN Domain Adaptation for sEMG-based Gesture Recognition with... code — Compare
CapgMyo DB-c (1 row) 2SRNN Domain Adaptation for sEMG-based Gesture Recognition with... code — Compare
ChaLearn 2013 (1 row) 3S Net TTM Skeleton-based Gesture Recognition Using Several Fully Connected... code — Compare
Chalearn 2014 (1 row) 3D-CNN + LSTM Learning Deep and Compact Models for Gesture Recognition code — Compare
ChaLearn 2016 (1 row) 3S Net TTM Skeleton-based Gesture Recognition Using Several Fully Connected... code — Compare
GesturePod (1 row) GesturePod GesturePod: Enabling On-device Gesture-based Interaction for White... code — Compare
Montalbano (1 row) Temp Conv + LSTM Beyond Temporal Pooling: Recurrence and Temporal Convolutions for... code — Compare
MSRC-12 (1 row) 3S Net TTM Skeleton-based Gesture Recognition Using Several Fully Connected... code — Compare
Ninapro DB-1 12 gestures (1 row) 2SRNN Domain Adaptation for sEMG-based Gesture Recognition with... code — Compare
Ninapro DB-1 8 gestures (1 row) 2SRNN Domain Adaptation for sEMG-based Gesture Recognition with... code — Compare
SHREC 2017 track on 3D Hand Gesture Recognition (1 row) PointLSTM An Efficient PointLSTM for Point Clouds Based Gesture Recognition code — Compare

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

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 149 papers with code (572 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.

Syntology lines on 5 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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