- Behavioral
assessment of emotion and paralinguistic displays is important in a range
of academic and applied fields including clinical psychology and psychiatry,
child development, political science and advertising.
- Biomedical
applications, including treatment of facial nerve disorders
- Computer
systems that understand human behavior and respond appropriately.
- Speech
recognition. In noisy environments, people utilize information from lip movement
to perceive speech. Facial illustrators provide emphasis and communicate pragmatics,
such as in the regulation of turn-taking.
- Security
systems. Facial recognition systems are becoming widely used as non-intrusive
means of controlling access to computers and buildings. Because people vary
in their facial behavior, the integration of Automated Face Analysis with
facial recognition systems could increase the effectiveness of person identification
from video.
- Lie detection.
To provide incremental validity to polygraph examination.
- Video compression
in telecommunications. MPEG-4 specifies a set of facial parameters for use
in video compression and telecommunication. Automated Face Analysis could
extract facial action and head orientation parameters specified in the standards.
- Facial
animation. Automated Face Analysis provides a means of acquiring normative
data on facial behavior to inform realistic facial animation.