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BrightWay - Making Smart Phones Smarter - via Automatic Context Classification

BrightWay - Making Smart Phones Smarter - via Automatic Context Classification
BrightWay - 让智能手机变得更智能 - 通过自动上下文分类
批准号:
710136
负责人:
金额:
$12.69万
依托单位:
依托单位国家:
英国
项目类别:
GRD Proof of Concept
财政年份:
2012
资助国家:
英国
项目状态:
已结题
起止时间:
2012 至 --

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中文摘要
翻译
人们使用的每一种移动方式,无论是开车、乘坐高铁还是在购物中心步行,都设置了一个上下文相关性框架。BrightWay的主要目标是为首个使用智能手机实时分类人的移动方式(步行、跑步、骑自行车、汽车、公共汽车、火车和地铁)的可靠解决方案提供概念验证。一个关键目标是达到95%以上的准确性,以实现预期的经济、社会和环境影响和效益。例如:(1)通过提高个人和组织对其移动碳足迹的认识来减少二氧化碳排放;(2)更好地对人们的活动进行上下文解释,以提供在该背景下对他们具有高经济或社会价值的信息。虽然BrightWay的项目范围主要涉及对移动模式及其对环境的影响进行分类,但其项目后的开发扩展到了消费者、企业和社会服务部门的基于位置的服务(LBS)的整个领域。BrightWay平台设计的环境感知功能,以及智能手机的资源效率,将扩大LBS用户的潜在基础。BrightWay将使LBS服务提供商能够在正确的时间、正确的地点为正确的人提供个性化信息。这一优势尤其适用于手机广告。BrightWay将结合高度创新的技术,对交通模式进行实时分类,并结合周围环境的背景特征。第二个项目目标是为开发人员提供通过API访问分类引擎的工具。这将使英国移动服务部门在为全球市场创造“改变游戏规则”的基于上下文的服务(CBS)方面领先一步,英国可以成为全球市场的卓越中心。
英文摘要
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.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis