NeuroPlace: categorizing urban places according to mental states

Urban spaces have a great impact on how people’s emotion and behaviour. There are number of factors that impact our brain responses to a space. This paper presents a novel urban place recommendation approach, that is based on modelling in-situ EEG data. The research investigations leverages on newly affordable Electroencephalogram (EEG) headsets, which has the capability to sense mental states such as meditation and attention levels. These emerging devices have been utilized in understanding how human brains are affected by the surrounding built environments and natural spaces. In this paper, mobile EEG headsets have been used to detect mental states at different types of urban places. By analysing and modelling brain activity data, we were able to classify three different places according to the mental state signature of the users, and create an association map to guide and recommend people to therapeutic places that lessen brain fatigue and increase mental rejuvenation. Our mental states classifier has achieved accuracy of (%90.8). NeuroPlace breaks new ground not only as a mobile ubiquitous brain monitoring system for urban computing, but also as a system that can advise urban planners on the impact of specific urban planning policies and structures. We present and discuss the challenges in making our initial prototype more practical, robust, and reliable as part of our on-going research. In addition, we present some enabling applications using the proposed architecture

GESTRA-technology aspects and mode design for space surveillance and tracking

On behalf of the Federal Government the German Space Administration (DLR RFM) commissioned the Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR) in 2015 to design and develop a phased–array based radar for monitoring the low Earth orbit. This so-called German Experimental Space Surveillance and Tracking Radar (GESTRA) will support the German Space Situational Awareness Centre to generate a catalogue of orbital data for all objects with a minimum radar cross section (RCS) at altitudes of less than 3000 km