Human action recognition is used in many applications such as video surveillance, human-
computer interaction, assistive living, and gaming. Many papers have appeared in the …

This paper presents a fusion approach for improving human action recognition based on two
differing modality sensors consisting of a depth camera and an inertial body sensor …

A method for simultaneous measurement of the thickness and density for Glass Fiber-
Reinforced Polymer (GFRP) laminate plates with ultrasonic waves in C-Scan mode is …

Human action recognition (HAR) has become a hot topic in the field of computer vision and
pattern recognition due to its wide range of application prospects. In most deep learning and …

In this paper, an image segmentation method based on Dempster-Shafer evidence theory is
proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels …

Dempster-Shafer evidence theory (DSET) is a popular paradigm for dealing with uncertainty
and imprecision. Its corresponding evidential reasoning framework is theoretically attractive …

In multisensor systems, complementary observations from different sensors need to be
combined with each other. Due to the uncertainty, sensor reports can be represented by …

Dempster-Shafer evidence theory (DS theory) is widely used in brain magnetic resonance
imaging (MRI) segmentation, due to its efficient combination of the evidence from different …

This paper presents a novel data fusion paradigm based on fuzzy evidential reasoning. A
new fuzzy evidence structure model is first introduced to formulate probabilistic evidence …

In imaging, physical phenomena and the acquisition system are responsible for noise and
the partial volume effect, respectively, which affect the uncertainty and the imprecision. To …