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US 2020/0025737 A1Published application
Chemical sensor data recognition
AssigneeKing Fahd University of Petroleum and Minerals
InventorsBasem AL MADANI, Sadam Hussein Al-Azani
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Abstract
Methods, systems, and computer readable media for chemical sensor data recognition using an odor detection system with sensor modules.
Claims17
A method for detecting the presence of one or more airborne chemical compounds, comprising:
- receiving sensor data from one or more chemical sensors;
- extracting one or more features from the sensor data;
- selecting a group of selected features from among the one or more features;
- classifying the group of selected features using one or more models;
- and
- providing an indication of the airborne chemical compounds based on the classifying.
3 more elements
A non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a method comprising:
- receiving sensor data from one or more chemical sensors for detecting one or more airborne chemical compounds;
- extracting one or more features from the sensor data;
- selecting a group of selected features from among the one or more features;
- classifying the group of selected features using one or more models;
- and
- providing an indication of sensed material based on the classifying.
3 more elements
A system comprising:
- one or more processors coupled to a non-transitory computer readable medium having stored thereon software instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including:
- receiving sensor data from one or more chemical sensors for detecting one or more airborne chemical compounds;
- extracting one or more features from the sensor data;
- selecting a group of selected features from among the one or more features;
- classifying the group of selected features using one or more models;
- and
- providing an indication of the one or more airborne chemical compounds based on the classifying.
4 more elements
Dependencies are inferred from the claim text.