Human emotions analysis has been the focus of many studies, especially in the field of
Affective Computing, and is important for many applications, eg human-computer intelligent …

Facial emotion recognition extracts the human emotions from the images and videos. As
such, it requires an algorithm to understand and model the relationships between faces and …

Facial emotion recognition (FER) is the procedure of identifying human emotions from facial
expressions. It is often difficult to identify the stress and anxiety levels of an individual …

Conventional surveillance for a security robot suffers from severe limitations, perceptual
aliasing (eg, different places/objects can appear identical), occlusion (eg, place/object …

Abstract Human-Robot Interaction (HRI) provides assisted services in different real-time
applications. The robotic systems identify objects through digital visualization wherein a …

In radar automatic target recognition (RATR), high-resolution range profile (HRRP) has
received intensive attention due to its low computational cost. As HRRP is sensitive to the …

With the paradigm shift from hospital-centric healthcare to home-centric healthcare in
Healthcare 4.0, healthcare robotics has become one of the fastest growing fields of robotics …

Detecting and recognizing facial emotions from human facial movements is one of the most
important research area in human-computer interaction. In this paper, a saliency map and …

Background The COVID-19 pandemic is affecting the mental and emotional well-being of
patients, family members, and health care workers. Patients in the isolation ward may have …

As a basic task in the field of computer vision, target detection has been concerned by many
researchers. The performance of target detection method is also directly related to the …