# Gesture Recognition on Northwestern University dataset Source: [Gesture Recognition on Northwestern University dataset]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:25.090Z Evaluation of Gesture Recognition performance on the Northwestern University dataset. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Gesture Recognition | | Dataset (including any stated split) | Northwestern University dataset | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 2 of 2 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Liu and Shao | 96.1 | Not recorded | 68fa654e1e209131cea097d5 | | Shen et al. | 95.8 | Not recorded | 68fa654e1e209131cea097d5 | ### Liu and Shao Accuracy: 96.1. Result ID: 698ca5af3ce6cd2163e11184. [Reporting paper]() Recorded evaluation configuration: {"Methods":"Genetic Programming"}. This record does not assert independent reproduction. ### Shen et al. Accuracy: 95.8. Result ID: 698ca5af3ce6cd2163e11185. [Reporting paper]() Recorded evaluation configuration: {"Methods":"Motion Divergence fields"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.