Ten Dynamic Hand Gesture Tracking

Ten Dynamic Hand Gesture Tracking

Citation Author(s):
Adri Gabriel
Sooai
Universitas Katolik Widya Mandira
Submitted by:
adri gabriel sooai
Last updated:
Tue, 11/12/2019 - 11:06
DOI:
10.21227/4r8p-xf34
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Abstract: 

This data consists of ten gestures. The format is CSV, arranged in thirty features that end with a label. Each movement is repeated five times and the coordinates are obtained. The sensor used is LeapMotion. This data can be used as a means of machine learning exercises. can be used for students learning machine learning subjects. articles that have used this data can be seen at the link: https://doi.org/10.1109/CENIM.2018.8711397

and

http://www.engineeringletters.com/issues_v26/issue_3/EL_26_3_09.pdf

Instructions: 

This file can be opened using various machine learning software. Data is designed to be easy to use as a training tool. Consists of features and labels that are ready to be used as machine learning for students and lecturers.

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[1] Adri Gabriel Sooai, "Ten Dynamic Hand Gesture Tracking", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/4r8p-xf34. Accessed: Nov. 19, 2019.
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url = {http://dx.doi.org/10.21227/4r8p-xf34},
author = {Adri Gabriel Sooai },
publisher = {IEEE Dataport},
title = {Ten Dynamic Hand Gesture Tracking},
year = {2019} }
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T1 - Ten Dynamic Hand Gesture Tracking
AU - Adri Gabriel Sooai
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Adri Gabriel Sooai. (2019). Ten Dynamic Hand Gesture Tracking. IEEE Dataport. http://dx.doi.org/10.21227/4r8p-xf34
Adri Gabriel Sooai, 2019. Ten Dynamic Hand Gesture Tracking. Available at: http://dx.doi.org/10.21227/4r8p-xf34.
Adri Gabriel Sooai. (2019). "Ten Dynamic Hand Gesture Tracking." Web.
1. Adri Gabriel Sooai. Ten Dynamic Hand Gesture Tracking [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/4r8p-xf34
Adri Gabriel Sooai. "Ten Dynamic Hand Gesture Tracking." doi: 10.21227/4r8p-xf34