Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

This paper presents an object classification method for vision and light detection and
ranging (LIDAR) fusion of autonomous vehicles in the environment. This method is based on …

This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

Inspired by the success of deep learning methods, for human activity recognition based on
individual vision cues, this paper presents a ConvNets based approach for activity …

To fluently collaborate with people, robots need the ability to recognize human activities
accurately. Although modern robots are equipped with various sensors, robust human …

Multimodal sensors (visual, non-visual, and wearable) can provide complementary
information to develop robust perception systems for recognizing activities accurately …

Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …

Through proper monitoring and recognition of actions of the human body many applications
are possible in the areas of robotics, surveillance or personal health monitoring. Wearable …

With the fast development of effective and low-cost human skeleton capture systems,
skeleton-based action recognition has attracted much attention recently. Most existing …