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 K. Salih
Last updated:
Tue, 03/12/2024 - 17:22
DOI:
10.21227/nmmk-0t19
Data Format:
License:
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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)