@article {162,
	title = {Human Motion Recognition Using a Wireless Sensor-based Wearable System},
	journal = {Personal and Ubiquitous Computing (Springer)},
	year = {2011},
	month = {September},
	pages = {1-14},
	abstract = {The future of human computer interaction
systems lies in how intelligently these systems can take
into account the user{\textquoteright}s context. Research on recognizing
the daily activities of people has progressed steadily, but
little focus has been devoted to recognizing jointly activities
as well as movements in a specific activity. For many
applications such as rehabilitation, sports medicine, geriatric
care, and health/fitness monitoring the importance of
combined recognition of activity and movements can drive
health care outcomes. A novel algorithm is proposed that
can be tuned to recognize on-the-fly range of activities and
fine movements within a specific activity. Performance of
the algorithm and a case study on obtaining optimal features
from sensor and parameter values for the algorithm to
detect fine motor movements are presented.},
	author = {J. P. Varkey and D Pompili and T. Walls}
}
@conference {120,
	title = {On the Impact of Neighborhood Discovery on Geographical Routing in Wireless Sensor Networks},
	booktitle = {Proc. of IEEE Sarnoff Symposium},
	year = {2011},
	month = {May},
	address = {Princeton, NJ, USA},
	abstract = {In Wireless Sensor Networks (WSNs), sensing nodes
operate in dynamic environments resulting in neighboring nodes
being discovered or lost at any moment causing the network
topology to change constantly. Hence, routing schemes especially
geographical ones (which use node positions to route data
packets) require periodic exchange of control packets to discover
neighboring nodes. Even though it is intuitive that the overhead
caused by their periodic broadcasts may affect the end-to-end
performance of the routing scheme, previous works have not
thoroughly studied the impact of transmission power and frequency
of control packets in static as well as mobile environments.
Hence, based on our study, Distributed Neighborhood Discovery
Protocol (DNDP) is proposed that can make online decisions to
find the best transmit power and frequency for sending discovery
packets so to minimize the effect on routing.},
	author = {E. K. Lee and J. P. Varkey and D Pompili}
}
@conference {123,
	title = {Patient Vital Signs Monitoring using Wireless Sensor Networks},
	booktitle = {Proc. of IEEE Northeast Bioengineering Conference},
	year = {2010},
	month = {March},
	address = {New York, NY, USA},
	abstract = {Today hospitals are equipped with many electronic trans- mitting devices, which results in electromagnetic interference that may impair wireless transmissions between medical devices. On the other hand, reliable and continuous collection via wireless communications of patient vital signs such as blood pressure and flow, core temperature, ECG, carbon dioxide (CO2) concentration is crucial for making real-time triage decisions. Hence, a novel wireless communication solution that seamlessly supports patient mobility and that prioritizes vital signs transmission using Wireless Body Area Networks (WBANs) is developed, implemented in TinyOS, and tested on Shimmer biomedical wireless sensor motes.},
	author = {B. Chen and J. P. Varkey and D Pompili and J. K. Li and I. Marsic}
}
