@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}
}
