Here, we examine how different emotions—happiness, fear, sadness and anger—affect the
kinematics of locomotion. We focus on a compact representation of locomotion properties …

We examine the link between workforce reduction, subjective job insecurity, and mental
health using individual level panel data for private-sector employees in Germany. We first …

Music is an important tool for the induction and regulation of emotion. Although learning a
sequential motor behaviour is essential to normal motor function, to our knowledge, the role …

A new computational approach may provide improved detection of disease conditions and
comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an …

Emotion recognition is key to interpersonal communication and to human–machine
interaction. Body expression may contribute to emotion recognition, but most past studies …

Identification of sick conspecifics allows for avoidance of infectious threats, and is therefore
an important behavioral defense against diseases. Here, we investigated if humans can …

Psychological trait estimation from external factors such as movement and appearance is a
challenging and long-standing problem in psychology, and is principally based on the …

It has repeatedly been shown that interacting persons synchronize their affective,
physiological, verbal and nonverbal responses, especially when they are engaged in …

Although a hunch about the individuality of human movements generally exists, differences
in gait patterns between individuals are often neglected. To date, only a few studies …

Machine learning has been used to accurately classify musical genre using features derived
from audio signals. Musical genre, as well as lower-level audio features of music, have also …