Towards building a generic sensor cloud for human-centric sensing applications

The advances in smart devices technology and their profuse availability have made the prospective of human-centric sensing and computing paradigms a viable reality. There already exist various operational intelligent systems in different domains like defense, healthcare, energy and disaster management that have been developed by employing human-centric sensing as their backbone. But, to support building more complex or novel human-centric based systems that have to integrate with existing sensors/devices and possible future sensors, there exists practical issue like accommodating disparate data formats, modality and connectivity interfaces. These low-level issues make integration of different sensing devices and fusion of sensed data a challenge and time consuming process, delaying the high-level implications, which can be targeted towards solving real world problems. In this paper, a generic architecture has been presented that has been developed to solve the mentioned challenges and support seamless integration and development of human-centric sensing devices and also platforms.