April 24, 2007 ­ Cambridge, Massachusetts, USA

In a half-day tutorial, we will give hands-on EXPLORATION OF wireless acoustic and seismic sensing systems. Both systems are based on a common software and hardware platform, and share robustness and scalability features. Both the systems use battery powered sensor nodes BASED ON AN XScale processor, running Linux, 802.11b radios, and software written in EmStar.

For each system we will describe the key components of the system in detail, set up the array, demonstrate the use of the system, run the self-configuration software, delve into the details of the sampling and system software, and analyze data coming from the system; we will also write some simple programs to modify the nodes behavior.

Speakers:

Lewis Girod (Massachusetts Institute of Technology)
Vinayak Naik (University of California at Los Angles)

More info is available here.

Registration is possible in the conference website.

A new compact, five-channel sensor board from Information System Technologies is designed for real-time sensor-level signal processing in large wireless sensor network environments. The high-performance sensor board provides has an onboard field programmable gate array (FPGa) and memory that allow for efficient implementation of flexible system structure and advanced signal-processing algorithms. An onboard radio provides added capability for self-localization. This technology overcomes the bandwidth and processing limitations in large wireless sensor networks, which may be deployed for real-time situation awareness and surveillance applications.

The sensor board can be interfaced with commercial Zigbee-based devices, e.g., motes. The system currently supports acoustic and seismic input signals, although it can be configured for other types of sensory inputs. Applications include acoustic localization and tracking of moving vehicles and gunshot detection, localization and classification. The system is suited for small fixed or moving sensor platforms, such as helmet-based systems.

More info here.