LabonPhone: A Participatory Sensing system This paper presents a novel approach defined as laboratory on phone xe2x80x9cLabonPhonexe2x80x9d which include the main features of xe2x80x9cHuman Centric Sensingxe2x80x9d, xe2x80x9cParticipatory Sensingxe2x80x9d and xe2x80x9cUbiquitous Computingxe2x80x9d paradigms in a multiuser and multipurpose acquisition, processing, storage and analysis chain infrastructure. LabOnPhone includes a generic sensing module which shares data with a Smartphone via Near Field Communication (NFC). The sensor measurements are processed and displayed by an Android application running in the same Smartphone, a web server stores the measured information sent by multiple Smartphones, considering privacy and security. LabonPhone also uses a set of web applications which allow accessing data from many different places and in any platform with Internet access.

Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements This paper introduces a miniaturized personal electronic nose (39 mm xc3x97 33 mm), which is managed through an app developed on a smartphone. The electronic nose (enose) incorporates four new generation digital gas sensors. These MOxtype sensors incorporate a microcontroller in the same package, being also smaller than the previous generation. This makes it easier to integrate them into the electronics and improves their performance. In this research, the application of the device is focused on the detection of atmospheric pollutants in order to complement the information provided by the reference stations. To validate the system, it has been tested with different concentrations of NOx including some tests specifically developed to study the behavior of the device in different humidity conditions. Finally, a mobile application has been developed to provide classification services. In this regard, a neural network has been developed, trained, and integrated into a smartphone to process the information retrieved from enose devices.