Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System

Drift counteraction with multiple self-organising maps for an electronic nose

In this paper, a new mSom neural network methodology has been developed and applied to improve the classification of odour classes sensed by a multisensor system as an electronic nose subjected to drift. The mSom network proved to be a suitable technique to recognise the response patterns of a chemical sensor array for its means of counteracting the parameter drift problem. This neural architec...

An active Z gravity compensation system

An electronic nose for multimedia applications

Multimedia systems are widely used in consumer electronics environments today, where humans can work and communicate through multi-sensory interfaces. Unfortunately smell detection and generation systems are not part of today’s multimedia systems. In this paper, we propose an Electronic Nose that can be used in a multimedia environment. The proposed electronic nose can detect a large number of ...

An electronic nose for odour annoyance assessment

Although in most cases annoying atmospheric emissions do not menace public health, they are less and less tolerated because of the e!ects on quality of life. Several approaches have been proposed to face this problem but none of them o!ers a completely satisfying solution. The development of electronic noses, which promise to mimic human sense of smell by means of a sensor array and a pattern r...

Relying on an Electronic Nose for Odor Localization

In this work we integrate an electronic nose with a mobile robot for the purpose of detecting odor leaks in a 1-dimensional environment. The robot relies on two mechanisms, the navigational algorithms to manoeuver in the environment and its sensing mechanism to adequately represent odors and their intensities. The emphasis of the proposed odor tracking strategy is placed on the cooperation betw...