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Static gestures of Indian Sign Language (ISL) for English Alphabet, Hindi Vowels and Numerals

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doi.org2022-08-24 更新2025-03-27 收录
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http://doi.org/10.17632/7tsw22y96w.1
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This dataset consists of static hand gestures and lips movement for each character in the English alphabet, eight Hindi Vowels and ten Numerals as represented in Indian sign language (ISL). The dataset consists of 1,02,470 images of subjects from different age groups presenting static gestures under varied backgrounds and illumination conditions. The dataset is structured into three folders namely Kids, Teenagers and Adults. Each folder consists of sub-folders namely Full Sleeves and Half Sleeves indicating the type of clothing that the subject has worn at the time of image acquisition. In each sub-folders, images for the English alphabet, Hindi Vowels and Numerals are stored respectively in the sub-folders named with that specific character. However, for the English alphabet 'E' and Numeral '9' we have captured two different signs for each (that are used interchangeably), and it is contained in the folder namely E1 and E2 for alphabet 'E' and 9a and 9b for Numeral '9'. For the English alphabet, wherever a character is represented by a dynamic sign, the last frame of the sign is captured. For example, this is typically a case with English characters like 'J', 'H' and 'Y'. The images are stored in .jpeg format and have resolutions varying from 300 x 500 to 800 x 600, and the size is less than 100KB. The dataset is captured by a team pursuing research at Chandigarh College of Engineering and Technology, Chandigarh. The subjects have been informed about the research and Informed Participant Consent has been obtained prior to image acquisition. This dataset can be used only for research purposes either as it is or after cropping the static gestures from the image after duly referencing it. Any other use of the dataset is strictly prohibited and any illegal use is subject to the Indian court of law.

本数据集收录了英语字母表、八个印地语元音和十个印度手语(ISL)中的数字字符的静态手势和唇部动作。该数据集包含来自不同年龄段的受试者图像,共计1,02,470张,展现了多样化的背景和光照条件下呈现的静态手势。数据集结构分为三个文件夹:儿童、青少年和成人。每个文件夹内包含子文件夹“长袖”和“短袖”,分别指示受试者在图像采集时所穿着的服装类型。在各个子文件夹中,分别存储着代表特定字符的英语字母、印地语元音和数字的图像,这些子文件夹以该字符命名。然而,对于英语字母'E'和数字'9',我们捕捉了两种不同的手势(可互换使用),分别存放在名为'E1'和'E2'的文件夹中,以及'9a'和'9b'的文件夹中。对于英语字母,若某一字符以动态手势呈现,则捕捉该手势的最后帧。例如,这种情况通常出现在字母'J'、'H'和'Y'上。图像以.jpeg格式存储,分辨率介于300 x 500至800 x 600之间,文件大小不超过100KB。该数据集由在昌迪加尔工程技术学院进行研究的团队采集,受试者已被告知研究内容,并在图像采集前获得了知情同意书。本数据集仅限于研究用途,可原样使用或裁剪静态手势后使用,并需注明出处。任何其他用途均属严格禁止,且任何非法使用将受印度法院管辖。
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