Lisheng Xu, Northeastern University, Shenyang, China Zedong Nie, Shenzhen Institue of Advanced Technology, Shenzhen, China |
The availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. Body Sensor Network (BSN) is a networked collection of wearable (programmable) sensor nodes that can communicate among themselves and also with other smart devices and other ambient sensors, which is enabling technologies for precision healthcare, enhanced sports and fitness training, novel life-style monitoring, and individualized security.
BSNs are strategic enablers for many other application domains such as: e-Sport, e-Fitness, e-Wellness, and e-Social. However, many issues still exist in the BSN research area from several points of view: hardware (e.g., new biosensor boards), communications (e.g. more efficient MAC-level protocols), distributed software systems (e.g., collaborative smartphone- and/or BSN-based platforms), and novel applications including advanced data processing algorithms.
In this session we aim at dealing with the aforementioned issues and, in particular, we are mainly interested in the following topics:
-Novel biosensor architectures
-Energy-efficient protocols for body sensor networks
-Frameworks for context-aware body sensor networks
-Cloud-assisted body sensor networks
-Body sensor networks for emotion-aware computing and systems
-Activity recognition based on body sensor networks
-Interconnection, integration, interoperability issues
-Smart body area networks and Internet of Things