Automatic Affect State Detection using Fiducial Points for Facial Expression Analysis

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Abstract

Current advancements in digital technology indicate that there is an opportunity to enhance computers with automated intelligence in order to understand human feelings and emotions that may be relevant to systems performance. Furthermore, one of the most important aspects of the Ubiquitous Computing paradigm is that machines should be characterised by autonomy and context awareness to facilitate more intelligent interaction. Therefore, there is an opportunity to enhance computer systems with automated intelligence in order to permit natural and reliable interaction similar to human-human interaction. Although various techniques have been proposed for automatically detecting a user’s affective state using facial expressions, this is still a research challenge in terms of achieving a consistently high level of classification accuracy. The current research probes the use of facial expressions as an input perception modality for computer systems. Facial expressions, which are deemed the most effective input channel in the domain of Affective Computing, are generated from the movements of facial muscles from different regions of the face; primarily the mouth, nose, eyes, eyebrows, and forehead. Subsequently, due to the correlation between facial expressions and human emotions, it is foreseen that automatic facial expression analysis will endow computer systems with the ability to recognise human affective states. The presented study considers the use of facial point distance vectors within the representation of facial expressions, along with investigations into a range of supervised machine learning techniques, for affective state classification. Results indicate a higher level of classification accuracy and robustness is achievable, in comparison to using standard Cartesian coordinates from the fiducial points.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIrish Human Computer Interaction Conference
Number of pages1
Publication statusAccepted/In press - 5 Oct 2016
EventIrish Human Computer Interaction Conference - Cork
Duration: 5 Oct 2016 → …

Conference

ConferenceIrish Human Computer Interaction Conference
Period5/10/16 → …

Keywords

  • Human computer interaction
  • HCI
  • facial expression analysis
  • affective computing
  • digital empathy
  • user interfaces

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