Sensor Web Platforms & Software Infrastructure

Stream Leaders: Professor Gregory O’Hare and Dr Cian O’Mathúna

This research stream incorporates outputs from the Devices and Materials Research Stream by providing platforms in the form of miniaturized wireless nodes/motes and producing assemblies of devices that feed into CLARITY demonstrators. Advanced packaging and integration technologies, developed at Tyndall National Institute, drive the hardware research work done on nodes and networks as well as on body sensor networks. Novel sensors developed within Research Stream 1 are integrated with existing Tyndall motes with a strong focus on power awareness. Platforms are currently being developed that incorporate on-body sensors for monitoring a variety of physical parameters including location, movement, posture, temperature, and personal health parameters such as respiration, heart rate, along with a system for harvesting and wirelessly transmitting this information.

The paradigm of widespread sensing that underpins the CLARITY research vision yields data of an unprecedented volume and heterogeneity, and this Research Stream helps contribute to propagating aggregated, harmonized data into the Contextual Content Analysis and Web-Scale Sensing Research Streams. This is achieved through the development of a middleware framework that facilitates the management of autonomic wireless sensor networks which will harness the potential of agency to distribute decision making across the various layers of the system and network partitions. This can facilitate robust collaborative behaviours adapting and reflecting evolving resource constraints. Novel techniques for adaptive capture and filtering, data aggregation and dissemination within a dynamic, unreliable, unstructured, decentralised and resource constrained network will also be developed as part of this Research Stream.

Case Studies

Appliance Load Monitoring By Power Load Disaggregation

CLARITY researchers have developed a system capable of disaggregating in real-time the power contribution of individual appliances from a building’s overall load, enabling appliance activity monitoring. The innovation comes from the use of pattern recognition techniques applied to raw electricity readings, reducing hardware constraints to one single electricity monitor per building. This enables a wide range of applications, ranging from electricity bill decomposition to accurate electricity user profiling.

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Motion Tracking And Throw Characterisation For Professional Darts Players

This work performs an extensive measurement and characterisation study of the movement, form and throw of a professional darts player. A multi-technology approach is adopted whereby a number of physiological and inertial measurement systems are applied, each extracting a useful subset of information. These include a Vicon motion capture system to provide a kinematic model of the subject as well as projectile ballistics, electromyography (EMG) sensors to monitor muscle activation patterns, Tekscan pressure mats to capture tactile pressure and force measurements, wireless inertial measurement devices to monitor tilt, force and fine-grained movements and a high speed camera to monitor form.

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