Cache-aware optimization of BAN applications
CODES+ISSS '08 Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis
Practical experiences on mobile inter-body-area-networking
Proceedings of the ICST 2nd international conference on Body area networks
Combining Smart Tags and Body Fixed Sensors for Disabled People Assistance
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
MAC processor for BASUMA wireless body area network
CSS '07 Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems
Miller-coded PPM UWB transreceiver for low-rate WBAN networks with non-coherent detection
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
A survey on wireless body area networks
Wireless Networks
Posture detection with body area networks
Proceedings of the 6th International Conference on Body Area Networks
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Body Area Sensor Networks (BASN) are an emerging technology enabling the design of natural Human Computer Interfaces (HCI) in the context of Ambient Intelligence. This class of interactive applications poses new challenges on sensor network design that are hard to be faced using traditional solutions optimized for environmental monitoringlike applications. In this paper we present a novel solution for wireless and wearable posture recognition based on a custom-designed wireless body area sensor network, called WiMoCA. Nodes of the network, mounted on different parts of the human body, exploit tri-axial accelerometers to detect body postures. Afterwards we discuss results of interactive performance and power consumption optimizations required to match application constraints.