in-Air Signature dataset using Smart Phone

Citation Author(s):
AbdulAzeez R.
Alobaidi
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, TunisiaThameurDhiebREGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
Thameur
Dhieb
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
Tarek M.
Hamdani
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, TunisiaAli WaliREGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
Ali
Wali
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
Adel M.
Alimi
(REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia)
Submitted by:
AbdulAzeez Alobaidi
Last updated:
Mon, 08/21/2023 - 11:55
DOI:
10.21227/1ah9-t089
License:
Creative Commons Attribution
152 Views
Categories:
Artificial Intelligence
Signal Processing
Keywords:
in-Air Signature, Smart Phone
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Abstract 

We have created a new in-Air Signature dataset using Smart Phone that we called IASSP dataset. Forty participants voluntarily took part in each of the two databases’ construction. Each participant signs in the air five signatures and imitates five signatures of five other participants.

The participants were seated in a comfortable chair, with their dominant hand placed approximately 7 cm away from the camera of a smartphone, which was directly in front of them.

The data recorded on two files:

-   The first file is a CSV file that contains the 2D coordinates of the signature in the air (x(t) and y(t)).

- The second is an image file of the signature in the air. 

Instructions: 

Download Zip file and extract it.

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