Wearable physiological sensors can provide a faithful record of a patient’s physiological states without constant attention of caregivers. A computer program that can infer huma...
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
This paper reports the results of a laboratory study of a proposed solution to the problem of coordinating entry into collaborative activity while protecting the privacy and contr...
Abstract-The emergence of small, inexpensive, networkcapable sensing devices led to a great deal of research on the design and implementation of sensor networks. A critical step in...
Riccardo Crepaldi, Simone Friso, Albert F. Harris ...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...