Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …

Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers
or game consoles naturally through gestures and spoken commands without any other …

This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …

Engineers, building officials and authorities, developers, and other stakeholders have long
recognized the significance of structural health monitoring (SHM) in civil infrastructure. With …

Recent advances in deep learning have enabled the extraction of high-level features from
raw sensor data which has opened up new possibilities in many different fields, including …

The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …

Monitoring the status of culture fish is an essential task for precision aquaculture using a
smart underwater imaging device as a non-intrusive way of sensing to monitor freely …

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable
technology with many applications in computer vision and graphics. However, the depth …

Human activity recognition (HAR) by machine learning finds wide applications ranging from
posture monitoring for healthcare and rehabilitation to suspicious or dangerous actions …