A theoretical framework to implement multi-sensor data fusion methods for kinematic quantities is proposed. All defined through the allow combination of signals obtained from position, velocity and acceleration sensors addressing same target, improvement in observation kinematics target. Differently several alternative methods, considered ones need no dynamic and/or error models operate can be ...

Although the potential of sensor data fusion as a way to improve situation awareness nowadays is widely regarded as a valuable tool by the monitoring and control community, there is still little quantitative evidence available that supports the acclaimed benefits of generic fusion methodologies and thus justifies their application. It is therefore legitimate to ask how much value sensor fusion ...

With the continuous improvement of human living standards, population aging has become a global development trend. At present, China entered an society, health and safety elderly have focus social concern. Due to physiological structure decline physical function, probability frequency accidental falls in are very high. Under above background, purpose this study is based on heterogeneous sensor ...

The design of large-scale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices. Wireless sensor networks allow distributed sensing and signal processing while collaborating during energy efficient opera...

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is desig...

Fault diagnosis (FD) and data fusion (DF) technologies implemented in the LabVIEW program were used for a ruthenium dioxide pH sensor array. The purpose of the fault diagnosis and data fusion technologies is to increase the reliability of measured data. Data fusion is a very useful statistical method used for sensor arrays in many fields. Fault diagnosis is used to avoid sensor faults and to me...

Because of the sensor or environment problem, the multi-sensor detection data can result in data mutation for the individual sensor. To obtain consistent, stable and accurate tested target description, the paper adopts confidence distance matrix, distance correlation coefficient and p-value significant test to get The number of optimal fusion number of multi-sensor, and uses maximum likelihood ...

Sensor fusion is the combining of sensory data or data derived from sensory data in order to produce enhanced data in form of an internal representation of the process environment. The achievements of sensor fusion are robustness, extended spatial and temporal coverage, increased confidence, reduced ambiguity and uncertainty, and improved resolution. This thesis examines the application of sens...