Home cognitive wireless sensor networks consist of home intelligent information terminals (MDBox), wireless sign sensors, a digital TV set-top box, and the associated software. Users can choose the desired types of wireless sign sensors to collect the sign signal, and transmit to home intelligent information terminals via the network. The information can then be displayed on a TV by the digital set-top box at the terminal. Users can control the terminal and sensors from the TV interface and achieve various business functions. At the same time, information collected by the home intelligent information terminal can be transmitted in real time through radio/television networks and service platforms, thereby performing sign monitoring, emergency alarms, remote assisted diagnostics/treatments and other activities.
The following figure illustrates a typical architecture of the home cognitive wireless network.
With sponsorship from both the National 863 project and industrial projects, the IWCT of SJTU has conducted extensive research in the area of home cognitive wireless sensor networks and wireless body area networks. Besides research accomplishments, prototype devices were also developed and tested.
We developed health cognitive wireless sensor networks that can provide continuous and real-time sign monitoring (such as blood pressure, oxygen saturation, heart and respiratory rate, blood glucose, body temperature, and brain waves, etc.) through a digital TV smart terminal (MDBox) and a variety of wireless sign sensors. These sign signals can be sent to relevant medical institutions through radio and television operation service in real time. In case any emergency alarms, the family members of the patients will be notified immediately and the patients will be taken care of by the nearest hospital or neighbors if immediate treatments are needed.
Evaluation tool-set for the effect of human body movement and gesture to wireless transmission quality
Key techniques of networking and demonstration platform
Data aggregation and processing techniques
Application integration technique