Results 151 to 160 of about 1,174,484 (222)

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare

Information Fusion, 2020
Recently, human healthcare from body sensor data has been getting remarkable research attentions by a huge range of human-computer interaction and pattern analysis researchers due to its practical applications such as smart health care systems.
Md. Zia Uddin, Mohammad Mehedi Hassan, Ahmed Alsanad, Claudio Savaglio   +3 more
semanticscholar   +1 more source

Multi-sensor data fusion architecture

Proceedings. Second International Conference on Creating, Connecting and Collaborating through Computing, 2005
In this work we present multi-sensor data fusion architecture. The objective of the architecture is to obtain fused measured data that represent the measured parameter as accurate as possible. The architecture is based on the use of adaptive Kalman filter formed by using Kalman filter and fuzzy logic techniques.
A.H.G. Al-Dhaher, D. Mackesy
openaire   +1 more source

Evidence combination based on prospect theory for multi-sensor data fusion.

ISA transactions, 2020
Multi-sensor data fusion (MSDF) is an efficient technology to enhance the performance of the system with the involvement of different kinds of sensors, which are broadly utilized in many fields at present.
Fuyuan Xiao
semanticscholar   +1 more source

Sensor data fusion

Journal of Intelligent & Robotic Systems, 1988
This paper reviews some knowledge representation approaches devoted to the sensor fusion problem, as encountered whenever images, signals, text must be combined to provide the input to a controller or to an inference procedure. The basic steps involved in the derivation of the knowledge representation scheme, are: (A) locate a representation ...
openaire   +1 more source

Sensor integration and data fusion

Journal of Robotic Systems, 1990
AbstractThe problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion.
openaire   +1 more source

Data Fusion in Sensor Networks

2006 IEEE International Conference on Video and Signal Based Surveillance, 2005
There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health care, and security. Rapid progress in sensing hardware, communications and low-power computing has resulted in a profusion of commercially available ...
openaire   +1 more source

Data Resources For Sensor Fusion

SPIE Proceedings, 1989
Advances in our sensor-fusion capabilities are often limited by the lack of appropriate data of scenes and objects acquired by selected sensors. This limitation is severe for sensor-fusion techniques that view objects in space for which observations are costly and require long lead times to plan.
Martin G. Seitz, Karen L. Corbett
openaire   +1 more source

Sensor Modeling and Multi-Sensor Data Fusion

2005
Abstract : This research report presents a novel strategy to develop a sensor model based on a probabilistic approach that would accurately provide information about individual sensor's uncertainties and limitations. The strategy also establishes the dependence of sensor's uncertainties on some of environmental parameters or parameters of any feature ...
Manish Kumar, Devendra P. Garg
openaire   +1 more source

Multi-sensor Data fusion in wireless sensor networks

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006
In wireless sensor networks, the sensor nodes usually use battery power, one of the main design challenges is to obtain long system lifetime. In a sensor network, the nodes usually sense several kinds of information. These kinds of data have different characteristics. In this paper, the sensed data from the sensor nodes are divided into two types; they
Yin Zhenyu, Zhao Hai, Lin Kai, Sun Peigang, Gong Yishan, Zhang Yongqing, Xu Ye   +6 more
openaire   +1 more source

Sensor Data Fusion

2015
In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
openaire   +1 more source