Cyclops, image sensing and interpretation in wireless networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A sensory grammar for inferring behaviors in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
A comparative study of access topologies for chip-level address-event communication channels
IEEE Transactions on Neural Networks
eCAM: ultra compact, high data-rate wireless sensor node with a miniature camera
Proceedings of the 4th international conference on Embedded networked sensor systems
Towards precision monitoring of elders for providing assistive services
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Sensor node lifetime analysis: Models and tools
ACM Transactions on Sensor Networks (TOSN)
Image Recognition Traffic Patterns for Wireless Multimedia Sensor Networks
Wireless Systems and Mobility in Next Generation Internet
Model-based design exploration of wireless sensor node lifetimes
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
The BehaviorScope framework for enabling ambient assisted living
Personal and Ubiquitous Computing
A survey of visual sensor network platforms
Multimedia Tools and Applications
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Although imaging is an information-rich sensing modality, the use of cameras in sensor networks is very often prohibited by factors such as power, computation cost, storage, communication bandwidth and privacy. In this paper we consider information selective and privacy-preserving address-event imagers for sensor networks. Instead of providing full images with a high degree of redundancy, our efforts in the design of these imagers specialize on selecting a handful of features from a scene and outputting these features in address-event representation. In this paper we present our initial results in modeling and evaluating address-event sensors in the context of sensor networks. Using three different platforms that we have developed, we illustrate how to model address-event cameras and how to build an emulator using these models. We also present a lightweight classification scheme to illustrate the computational advantages of address-event sensors. The paper concludes with an evaluation of the classification algorithm and a feasibility study of using COTS components to emulate address-event inside a sensor network.