无线认知传感器网络的人类行为研究:一种网络物理方法
Qi Hao
2013-06-09
报告内容简介:
There is a growing research emphasis on biometrics, security, surveillance, connected healthcare, home automation, and energy-efficient buildings. One central issue of these research activities is to understand human behavior and then provide related service. Meanwhile, novel sensors, actuators, energy harvesting, and computing devices enable developing energy-efficient, intelligent wireless distributed sensor-actuator networks (iWDSANs) for human behavior study. The development of these iWDSANs requires highly coupled cyber-physical resources and system self-reconfiguration capabilities. Therefore, in this walk, I will present three approaches to develop such a cyber-physical system: (1) geometric, (2) cognitive, and (3) symmetric. These three approaches are based on biological inspirations, under unified frameworks, toward scalable implementation, and can be verified with an integrated testbed. Experiment results of human behavior study using our cognitive sensing research infrastructure will also be presented.