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structure in the case of the couch, as well as the weight of the person in the one
case and the other. Other sensors based on resistive transducers do not meet
the low power constraints. The proposed sensor is independent of these factors
except the user's weight, however, the possibility of calibration makes this aspect
does not become a problem. Occupancy sensor developed has proven effective in
laboratory tests. It has been tested with people of different weights. On the one
hand, detections have been correct. On the other hand, the recorded values have
been stable and away enough from the threshold to consider that the sensor can
behave properly in an actual installation. A fundamental aspect of the design is
energy consumption. According to the estimations, the consumption of a node
to incorporate occupancy sensor would be increased by 15%, which is acceptable
for implementation.
Finally, future direction would point as redesigning the sensor so that it can
be a stand - alone device that does not require a micro-controller to operate. An
implementation of this could even be transferred to the field of microelectronic
design for manufacturing as an integrated circuit, which would be translated
into an especially significant reduction in cost and energy consumption.
Acknowledgment. This work is partially supported by Ambient Intelligence &
Interaction S.L.L. (AMI2) and by the Spanish Ministry of Ciencia e Innovacion
(MICINN) under grant TIN2009-14372- C03-02.
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