Modelling and Characterization of a High-Efficiency, Cm-Scale and Low Velocity Airflow-Driven Harvester for Autonomous Wireless Sensor Nodes

Author(s):  
P. Gasnier ◽  
B. Alessandri ◽  
T. Fayer ◽  
N. Garraud ◽  
E. Pauliac-Vaujour ◽  
...  
2006 ◽  
Vol 920 ◽  
Author(s):  
Sarah Brady ◽  
Shirley Coyle ◽  
Yanzhe Wu ◽  
Gordon Wallace ◽  
Dermot Diamond

AbstractThe world is becoming more health conscious and as a result healthcare is evolving in many ways. Wearable computing is assisting with this evolution, finding its place in many biomedical applications where real-time monitoring of general health indicators is required. However, the inconvenience of connecting sensors through wires, which not only incurs high maintenance, limits the freedom of the person therefore hampering a true reflection of the person's actions. By using sensors attached to wireless sensor nodes, this constraint is removed. Also in order to be “wearable” the sensors must be comfortable, a factor often overlooked by traditional sensors, where functionality and robustness are of higher importance. This work is focused on the use of foam-based pressure sensors and similar textile-based sensors for monitoring the ambulatory movements of the wearer. Characterization of the molecular nature of the materials and their environment are presented. We find these sensors to be successful in detecting the movement events without imposing on the daily activity of the wearer.


Author(s):  
Florian Ohnimus ◽  
Robert Erxleben ◽  
Christian Tschoban ◽  
Ivan Ndip ◽  
Michael Niedermayer ◽  
...  

Author(s):  
Alejandro Castillo-Atoche ◽  
J. Vazquez-Castillo ◽  
E. Osorio-de-la-Rosa ◽  
J. Heredia-Lozano ◽  
Jaime Aviles Vinas ◽  
...  

Author(s):  
Leander B. Hormann ◽  
Markus Pichler-Scheder ◽  
Christian Kastl ◽  
Hans-Peter Bernhard ◽  
Peter Priller ◽  
...  

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