Smell Inspector IX-16 Data
- Citation Author(s):
-
HUSAM K. SALIH
(COIE / AL-NAHRAIN UNIVERSITY )
AYAD AL-ANI
(COIE / AL-NAHRAIN UNIVERSITY )
- Submitted by:
- Husam Salih
- Last updated:
- DOI:
- 10.21227/nmmk-0t19
- Data Format:
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Abstract
These datasets are gathered from an array of four gas sensors to be used for the odor detection and recognition system. The smell inspector Kit IX-16 used to create the dataset. each of 4 sensor has 16 channels of readings. Odors of different 12 samples are taken from these six sensors
1- Natural Air
2- Fresh Onion
3- Fresh Garlic
4- Black Lemon
5- Tomato
6- Petrol
7- Gasoline
8- Coffee
9- Orange
10- Colonia Perfume
12- Cumine
the data collected from an array of four sensors to be used for the odor recognition system. The sensors are connected to the computer directly using a USB cable. two ways have been used to collect the data
1- using the original SW ( Smell Annotator )
2- using Pi Code ( PyCharm SW)
Instructions:
These datasets are gathered from an array of four gas sensors to be used for the odor detection and recognition system. The smell inspector Kit IX-16 used to create the dataset. each of 4 sensor has 16 channels of readings. Odors of different 12 samples are taken from these six sensors
1- Natural Air
2- Fresh Onion
3- Fresh Garlic
4- Black Lemon
5- Tomato
6- Petrol
7- Gasoline
8- Coffee
9- Orange
10- Colonia Perfume
12- Cumine
the data collected from an array of four sensors to be used for the odor recognition system. The sensors are connected to the computer directly using a USB cable. two ways have been used to collect the data
1- using the original SW ( Smell Annotator )
2- using Pi Code ( PyCharm SW)
