In sensory data fusion and integration consideration, sensor independence is a common assumption. In this paper, we demonstrated the impact of including dependent information in s...
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
—This paper introduces a new sensory system for the 2-D detection, tracking, and prediction of human motions. Using the data acquired through the sensory system, a model of a hum...
Random walks in wireless sensor networks can serve as fully local, very simple strategies for sink motion that reduce energy dissipation a lot but increase the latency of data coll...
Constantinos Marios Angelopoulos, Sotiris E. Nikol...
During locomotion sensory information from cutaneous and muscle receptors is continuously integrated with the locomotor central pattern generator (CPG) to generate an appropriate m...