Transducer Markup Language

Transducer Markup Language (TML) defines a set of models describing the response characteristics of a transducer and an efficient method for transporting sensor data and preparing it for fusion through spatial and temporal associations
Sensor data is often an artifact of the sensor’s internal processing rather than a true record of phenomena state. The effects of this processing on sensed phenomena can be characterized as functions.

TML response models are formalized XML descriptions of these known hardware behaviors. The models can be used to reverse distorting effects and return artifact values to the phenomena realm. TML provides models for a transducer’s latency and integration times, noise figure, spatial and temporal geometries, frequency response, steady-state response and impulse response.

Traditional XML wraps each data element in a semantically meaningful tag. The rich semantic capability of XML is in general better suited to data exchange rather than live delivery where variable bandwidth is a factor. TML addresses the live scenario by using a terse XML envelope designed for efficient transport of live sensor data in groupings known as TML clusters. It also provides a mechanism for temporal correlation to other transducer data.

TML Pages:



Tutorial and Examples


Current Editors:

Steve Havens