Towards Automatic Recognition of Spontaneous Facial Actions
نویسندگان
چکیده
Charles Darwin (1872/1998) was the first to fully recognize that facial expression is one of the most powerful and immediate means for human beings to communicate their emotions, intentions, and opinions to each other. In addition to providing information about affective state, facial expressions also provide information about cognitive state, such as interest, boredom, confusion, and stress, and conversational signals with information about speech emphasis and syntax. Facial expressions also contain information about whether an expression of emotion is posed or felt (Ekman, 2001; Frank, Ekman, & Friesen, 1993). In order to objectively measure the richness and complexity of facial expressions, behavioral scientists have found it necessary to develop objective coding standards. The Facial Action Coding System (FACS) from Ekman and Friesen (1978) is arguably the most comprehensive and influential of such standards. FACS is based on the anatomy of the human face, and codes expressions in terms of component movements, called " action units " (AUs). Ekman and Friesen defined 46 AUs to describe each independent movement of the face. FACS measures all visible facial muscle movements, including head and eye movements, and not just those presumed to be related to emotion. When learning FACS, a coder is trained to identify the characteristic pattern of bulges, wrinkles, and movements for each facial AU. The AUs approximate individual facial muscle movements but there is not always a 1:1 correspondence. FACS has been used to verify the physiological presence of emotion in a number of studies, with high (over 75%) agreement Because it is comprehensive, FACS also allows for the discovery of new patterns related to emotional or situational states. For example, using FACS Ekman et al (1990) and Davidson et al (1990) found that smiles which featured both orbicularis oculi (AU6), as well as zygomatic major action (AU12), were correlated with self-reports of enjoyment, as well as different patterns of brain activity, whereas smiles that featured only zygomatic major (AU12) were not. Subsequent research demonstrated that the presence of smiles that involve the orbicularis oculi (hereafter " enjoyment smiles ") on the part of a person who has survived the death of their romantic partner predicts successful coping with that traumatic loss (Bonnano & Keltner, 1997). Other work has shown a similar pattern. For example, infants show enjoyment smiles to the presence of their mothers, but not to strangers (Fox & Davidson, 1988). Mothers do not show as many enjoyment …
منابع مشابه
A Prototype for Automatic Recognition of Spontaneous Facial Actions
We present ongoing work on a project for automatic recognition of spontaneous facial actions. Spontaneous facial expressions differ substantially from posed expressions, similar to how continuous, spontaneous speech differs from isolated words produced on command. Previous methods for automatic facial expression recognition assumed images were collected in controlled environments in which the s...
متن کاملFully Automatic Facial Action Recognition in Spontaneous Behavior
We present results on a user independent fully automatic system for real time recognition of facial actions from the Facial Action Coding System (FACS). The system automatically detects frontal faces in the video stream and codes each frame with respect to 20 Action units. We present preliminary results on a task of facial action detection in spontaneous expressions during discourse. Support ve...
متن کاملFirst Steps Towards Automatic Recognition of Spontaneuous Facial Action Units
We present ongoing work on a project for automatic recognition of spontaneous facial actions (FACs). Current methods for automatic facial expression recognition assume images are collected in controlled environments in which the subjects deliberately face the camera. Since people often nod or turn their heads, automatic recognition of spontaneous facial behavior requires methods for handling ou...
متن کاملAutomatic Recognition of Spontaneous Facial Actions
Spontaneous facial expressions differ from posed expressions in both which muscles are moved, and in the dynamics of the movement. Advances in the field of automatic facial expression measurement will require development and assessment on spontaneous behavior. Here we present preliminary results on a task of facial action detection in spontaneous facial expressions. We employ a user independent...
متن کاملAutomatic Recognition of Facial Actions in Spontaneous Expressions
Spontaneous facial expressions differ from posed expressions in both which muscles are moved, and in the dynamics of the movement. Advances in the field of automatic facial expression measurement will require development and assessment on spontaneous behavior. Here we present preliminary results on a task of facial action detection in spontaneous facial expressions. We employ a user independent...
متن کاملFacial Expression Recognition Based on Anatomical Structure of Human Face
Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
متن کامل