Emotion elicitation using emotional film clips is one of the most common and ecologically
valid methods in Affective Computing. However, selecting and validating appropriate …

Emotions are experienced differently by individuals, and thus, it is important to account for
individuals' experienced emotions to understand their physiological responses to emotional …

Despite rapid advances in the field of emotional text-to-speech (TTS), recent studies
primarily focus on mimicking the average style of a particular emotion. As a result, the ability …

The green Internet of Things (IoT) technology has increased the need for a more emotion-
connected human-computer interaction. The lower network latency and longer battery life …

Existing achievements in the domain of HumanComputer Interaction (HCI) intend to attain a
more natural interplay between its involved actors. Automatic and reliable estimations of …

Natural human-system interaction can facilitate the acceptance of technological systems.
The ability of emotion recognition can hereby provide a significant contribution. Surprisingly …

Emotion recognition systems (EMS) enable human-machine systems to interact with users in
an empathetic and responsive manner. To be effective, EMS must be well-designed to …

Emotions arise from a complex interplay of various factors, including conscious experience,
physiological processes, and contextual elements. Although emotions are inherently …

Human emotions are dynamic in nature. The intensity with which they are felt changes over
time, and they have a natural timescale of expression, from onset to decay. Further …

In this paper, a new algorithm is proposed for recognition of user experience through
emotion detection using physiological signals, for application in human-machine interaction …