HGM-4

Published: 4 Feb 2020 | Version 4 | DOI: 10.17632/jzy8zngkbg.4
Contributor(s):

Description of this data

Gesture recognition technology is rapidly growing in the recent years due to the demands of many application such as computer game and sport, human robot interaction, assistant systems, sign language interpretation and e-commerce. One of the most important of gesture recognition is hand-gesture recognition. For example, it can be used to control all devices (television, radio, air-condition, and doors) by just hand gestures for smart home application. The HGM-4 dataset is built for hand gesture recognition (the full dataset is available from: http://dx.doi.org/10.17632/jzy8zngkbg.2) which contains total 4,160 colour images (1280 × 700 pixels) of 26 hand gestures captured by four cameras at different position. The training and testing set are defined to create a benchmark framework for comparing the experimental results.

Experiment data files

Latest version

Statistics

Views: 159
Downloads: 20

Previous versions

Compare to version

Institutions

Ho Chi Minh City Open University

Categories

Computer Vision, Image Classification, Pattern Recognition

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report