Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …

The opportunities now afforded by increasingly available, dense, aerial urban LiDAR point
clouds (greater than100 pts/m2) are arguably stymied by their sheer size, which precludes …

Recent substantial advances in high-throughput field phenoty** have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

In recent years, the application of deep learning based on deep convolutional neural
networks has gained great success in face detection. However, one of the remaining open …

A reliable human skin detection method that is adaptable to different human skin colors and
illumination conditions is essential for better human skin segmentation. Even though …

Skin detection from images, typically used as a preprocessing step, has a wide range of
applications such as dermatology diagnostics, human computer interaction designs, and etc …

This paper presents a multi-sensor ensemble approach to human physical activity (PA)
recognition, using random forest. We designed an ensemble learning algorithm, which …

When using the flipped classroom method, students are required to come to the lesson after
having prepared the basic concepts. Thus, the effectiveness of the lecture depends on the …

Random forest (RF) is one of the most powerful ensemble methods with high performance
when dealing with high dimensional data. In this paper, we present a novel approach …

We present a novel method for monocular hand gesture recognition in ego-vision scenarios
that deals with static and dynamic gestures and can achieve high accuracy results using a …