The dataset used in the paper is the NATOPS dataset, which contains data from sensors on the hands, elbows, wrists, and thumbs for gesture recognition.

A low power, fully event-based gesture recognition system.

The DVS128 Gesture Dataset is a dataset published in 2017 which contains recordings of 29 subjects performing 11 hand gestures under 3 different illuminations.

The dataset used in the paper is a gesture phase segmentation dataset.

The HCI gesture recognition dataset consists of a user performing 5 different gestures using the right arm.

A dataset for training the HQ-Net model and the GViT model for ultra-range gesture recognition.

Custom traffic gesture dataset containing measurements of eight different gestures for 35 participants.

RadHAR dataset

Pantomime dataset

Upper Body Point Cloud Gestures (UBPG) RGB-D gesture point cloud dataset

Gesture recognition interface for point clouds generated by mmWave Radars

The WatchAuth dataset is a publicly available dataset for smartwatch authentication. It contains data collected in a physical study with 16 participants. The dataset includes...