—Significant research has been done on recognizing the daily activities using acceleration data but few works have focused on classifying the movements comprising an activity due to the shorter time scales of the movements compared to that of an activity. Recognizing the individual movements within an activity can help improve the activity recognition on… (More)
The future of human computer interaction systems lies in how intelligently these systems can take into account the user’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… (More)
—Today hospitals are equipped with many electronic transmitting 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… (More)
In the original publication, the below acknowledgment was unfortunately missed: Acknowledgments The authors would like to thank Rutgers undergraduate student Alex Weiner for helping fine-tune the proposed classification algorithm used for human motion recognition.
—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… (More)