Towards an Emotion Specification Method: Representing Emotional Physiological Signals

Abstract

This paper introduces initial attempts towards an emotion specification method for physiological signals. The core elements of a complete emotion record are identified and their structure is represented. The XML annotation is proposed as the most appropriate since it provides platform independency and easier intercommunication. The emotion record is described in both quantitative statistical and qualitative analytical manners. The former is a standard way of representing signals by specifying their true numerical values. The second, though is additional description that is characteristic for each signal and describes the main features of the signal in a more free and informal annotation.

A Multi-Modal Virtual Environment to Train for Job Interview

“…It allows the user to define the mark-up elements and facilitate the information systems in sharing structured data. Luneski and Bamidis proposed an XML annotation technique for the emotional data (Luneski and Bamidis, 2007). Wang also proposed the ecgML (ECG Mark-up Language) to annotate ECG data during the acquisition (Wang et al, 2003).…”

An Integrated Approach to Emotion Recognition for Advanced Emotional Intelligence

“…This type of annotation is used in order to provide a standard format of the record which describes the classified emotion. Furthermore, it contains both quantitative (statistical) and qualitative information of both the signals and the derived features [15]. A block diagram of the emotion recognition subsystem is given in Figure 2.…”

“…The outcome is provided to an avatar that through expressions and verbal contents provides emotional feedback to the subject/user. The connectivity between the various subsystems is achieved by means of XML specifications since it provides platform independency [15]. The use of the avatar guarantees a multi-modal interaction, alongside a kind of emotional interaction by eliciting certain expressions (video) and speech (voice), thereby achieving human embodiment inside the computer.…”

Description and future trends of ICT solutions offered towards independent living

“…Then, pattern recognition and data mining techniques could be integrated in order to dynamically process and analyze the collected data in order to extract the subject's mental state [10] or arousal level [11]. The results may be described in a structured way through XML format [12] in order to adjust the avatar's facial expressions and its speech according to the situation the user faces [13]. The aim of this paper is to review the technological advances and solutions utilized for supporting senior citizens according to their needs as well as with the recent social trends of modern communities.…”