InContexto: Multisensor Architecture to Obtain People Context from Smartphones

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Afghan people risk their lives to obtain health care: MSF.

Generic multisensor multitarget bias estimation architecture

Current bias estimation algorithms for air traffic control (ATC) surveillance are focused on radar sensors, but the integration of new sensors (especially automatic dependent surveillance-broadcast and wide area multilateration) demands the extension of traditional procedures. This study describes a generic architecture for bias estimation applicable to multisensor multitarget surveillance syst...

Keynote: Context to the People

With the advance of sensor enabled smart phones simple context awareness has become a mainstream feature. Commercial apps routinely use location knowledge for the delivery of customized information or fostering social interaction. There are also scores of apps that analyse modes of locomotion for purposes such as calories calorie expenditure assessment or exercise support. On the other hand, mo...

A Context Aware Architecture to Support People with Partial Visual Impairments

Nowadays there are several systems that help people with disabilities on their quotidian tasks. The visual impairment is a problem that affects several people in their tasks and movements. In this work we propose an architecture capable of processing information from the environment and suggesting actions to the user with visual impairments, to avoid a possible obstacle. This architecture inten...