In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

More efficient, sustainable, and precise agri-sensing technologies will be adopted in the
future to promote precision livestock farming (PLF). Through a detailed survey of research …

Cameras allow for highly accurate identification of targets. However, it is difficult to obtain
spatial position and velocity information about a target by relying solely on images. The …

The assessment of mal-adaptive anxiety is crucial, considering the associated personal,
economic, and societal burden. The State-Trait Inventory for Cognitive and Somatic Anxiety …

The process of monitoring mental health has relied on methods, such as invasive sensing
and self-reporting. The use of these methods has been limited because of the invasiveness …

Fusion of multimodal features is a momentous problem for video emotion recognition. As the
development of deep learning, directly fusing feature matrixes of each mode through neural …

The challenge of noncontact presentation of human cardiopulmonary activity using a
bioradar sensor is to linearly demodulate the Doppler cardiopulmonary diagram (DCD) …

The knowledge of heart and respiratory rates (HRs and RRs) is essential in assessing
human body static. This has been associated with many applications, such as survivor …

The ability to remotely assess vital signs using radar systems may potentialize the
healthcare systems, since it does not require any direct interaction with the subject …

Speech is our most natural and efficient form of communication and offers a strong potential
to improve how we interact with machines. However, speech communication can sometimes …