Buscar
Mostrando ítems 31-40 de 810
An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms
(2013-06-10)
Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. In these situations, the power supply (e.g. battery) of each node cannot be easily replaced. One solution to deal with the limited ...
Step Characterization using Sensor Information Fusion and Machine Learning
A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments. However, low- cost inertial systems provide huge ...
Arquitetura multissensorial em fog computing para dispositivos IoT com foco em agricultura de precisão
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2019-02-14)
The Internet of Things (IoT) is characterized by a computational environment that can be divided into three main layers: sensor network, communication and intelligence, the latter located in a fog or cloud environment ...
Discrete Kalman filter based sensor fusion for robust accessibility interfaces
(IOP Publishing, 2016)
Abstract: Human-machine interfaces have evolved, benefiting from the growing access to devices with superior, embedded signal-processing capabilities, as well as through new sensors that allow the estimation of movements ...
Robust human machine interface based on head movements applied to assistive robotics
(Hindawi Publishing Corporation, 2013-10)
This paper presents an interface that uses two different sensing techniques and combines both results through a fusion process to obtain the minimum-variance estimator of the orientation of the user’s head. Sensing techniques ...
Data alignment for data fusion in wireless multimedia sensor networks based on M2M
(KSII Transaction on Internet and Information Systems, 2012)