Computational intelligence is a branch of artificial intelligence that comprises algorithms
inspired by nature. The common characteristics of all these algorithms is their collective …

Music can produce a positive effect in runners' motivation and performance. Nevertheless,
these effects vary depending on the user's location, the emotions that she/he feels at each …

Existing music recommendation systems rely on collaborative filtering or content-based
technologies to satisfy users' long-term music playing needs. Given the popularity of mobile …

Acoustic stimuli, like music and metronomes, are often used in sports. Adjusting movement
tempo to acoustic stimuli (ie, auditory-motor synchronization) may be beneficial for sports …

We have conducted interviews with ten elite and recreational athletes to understand their
experiences and engagement with endurance sport and personal and wearable sports …

A novel algorithm is proposed for robust step detection irrespective of step mode and device
pose in smartphone usage environments. The dynamics of smartphones are decoupled into …

Music is widely used for mood and emotion regulation in our daily life. As a result, many
research works on music information retrieval and affective human-computer interaction …

The purpose of this study was to investigate the impact of fast-and slow-tempo music on 500-
m rowing sprint performances. Twenty-two rowers performed 500-m sprints 3 times: rowing …

We present several interrelated technical and empirical contributions to the problem of
emotion-based music recommendation and show how they can be applied in a possible …

Music is important in everyday life, as it provides entertainment and influences our moods.
As music is widely available, it is becoming increasingly difficult to select songs to suit our …