BrightWay - Making Smart Phones Smarter - via Automatic Context Classification

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Each type of mobility used by a person from driving a car, travelling on a high speed train orwalking in a shopping mall sets a framework of contextual relevance.BrightWay’s primary objective is a proof of concept for a first of a kind operationally robustsolution using smartphones for the real time classification of a person’s mode of mobility(walking, running, cycling, car, bus, train and the Underground). A key target is to achieve95%+ accuracy in order to realise the anticipated economic, social and environmental impactsand benefits. Examples are: (1) reduced CO2 emissions via greater awareness by individualsand organisations of their mobility carbon footprint, (2) better contextual interpretation ofpeople’s activity to provide information that has a high economic or social value to them inthat context.Although BrightWay’s project scope is primarily concerned with classifying mobility modesand their environmental impact, its post project exploitation extends to the whole realm oflocation based services (LBS) in the consumer, corporate and social services sectors. Thecontext aware features designed into the BrightWay platform along with its resource efficientimplementation for smartphones will widen the potential base of LBS users. BrightWay willenable LBS service providers to personalise information for the right people at the right timein the right place. This benefit is especially relevant to mobile advertising.BrightWay will incorporate highly innovative techniques for real time classification of themodes of mobility as well as contextual features in the surrounding environment. A secondproject objective is to provide developers a tool to access the classification engine via an API.This will give the UK mobile services sector a head start in creating ‘game changing’ contextbased services (CBS) for a global marketplace in which the UK can become a centre ofexcellence.