The NUS hand posture datasets II

This is a 10 class hand posture dataset. The postures are shot in and around National University of Singapore (NUS), against complex natural backgrounds, with various hand shapes and sizes. The postures are performed by 40 subjects, with different ethnicities, against different complex backgrounds. The subjects include both males and females in the age range of 22 to 56 years. The subjects are asked to show the 10 hand postures, 5 times each. They are asked to loosen the hand muscle after each shot, in order to incorporate the natural variations in the postures. The dataset also consist of a set of background images which does not contain any of the hand postures. This dataset can be used for academic research purposes free of cost, by citing both the original article and this data package. Pisharady, P.K.,Vadakkepat, P.,Loh, A.P. (2013-02) Attention based detection and recognition of hand postures against complex backgrounds. International Journal of Computer Vision 101 (3) : 403-419. https://doi.org/10.1007/s11263-012-0560-5 This dataset is also available at https://www.ece.nus.edu.sg/stfpage/elepv/NUS-HandSet/.

本数据集为包含10类手部姿态的数据集。该数据集的手部姿态采集于新加坡国立大学（National University of Singapore，NUS）校内及周边区域，背景为复杂自然场景，手部的形态与尺寸各异。所有姿态由40名不同种族的受试者完成，受试者年龄覆盖22至56岁，包含男性与女性，采集背景亦涵盖多种复杂场景。受试者需完成10类手部姿态各5次，每次拍摄完成后需放松手部肌肉，以纳入姿态的自然变化因素。本数据集还包含一组不含任何手部姿态的背景图像子集。
本数据集可免费用于学术研究，使用时需同时引用原文与本数据包：Pisharady, P.K., Vadakkepat, P., Loh, A.P. (2013-02) 基于注意力的复杂背景下手部姿态检测与识别. 国际计算机视觉杂志（International Journal of Computer Vision）, 101(3): 403-419. https://doi.org/10.1007/s11263-012-0560-5
本数据集亦可通过以下链接获取：https://www.ece.nus.edu.sg/stfpage/elepv/NUS-HandSet/.