If you are a veterinarian or have ever had to take (or even find) your pet to a clinic because you suspected that it was in pain or discomfort, you know how difficult this can be in some cases. However, this may change soon, as researchers at the University of Cambridge have a new tool in hand. Incredibly, the new facial recognition software called the Sheep Pain Facial Expression (SPFES) has achieved a pretty incredible mark: just by looking at a sheep's face, it can determine how much pain it is suffering. It may seem like a pure kick or something technically inaccurate, but it's not quite like that. Briefly, sheep have specific facial expressions for each level of pain they feel, something that can be very subtle and interpretive to the human eye or simply too laborious for those who can understand.
Previously, we've worked on facial expression recognition of a custom image. Additionally, we can detect multiple faces in a image, and then apply same facial expression recognition procedure to these images. As a matter of fact we can do that on a streaming data continuously. These additions can be handled without a huge effort.
Facial recognition technology has progressed to point where it now interprets emotions in facial expressions. This type of analysis is increasingly used in daily life. For example, companies can use facial recognition software to help with hiring decisions. Other programs scan the faces in crowds to identify threats to public safety. Unfortunately, this technology struggles to interpret the emotions of black faces.
Freitas, Fernando de Almeida (University of São Paulo and Incluir Tecnologia) | Peres, Sarajane Marques (University of São Paulo) | Lima, Clodoaldo Aparecido de Moraes (University of São Paulo) | Barbosa, Felipe Venâncio (University of São Paulo )
The automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special importance is attached to facial expressions in the area of sign language, since they help to form the grammatical structure of the language and allow for the creation of language disambiguation, and thus are called Grammatical Facial Expressions (GFEs). In this paper we outline the recognition of GFEs used in the Brazilian Sign Language. In order to reach this objective, we have captured nine types of GFEs using a KinectTM sensor, designed a spatial-temporal data representation, modeled the research question as a set of binary classification problems, and employed a Machine Learning technique.
Surely at one point or another you've been caught daydreaming at school, but in future it might not be a teacher catching you first. In China, the Hangzhou No. 11 Middle School is trialling a smart classroom behaviour management system which uses cameras and facial recognition to keep track of student performance. The system is able to measure the expressions of students, including anger, annoyance, surprise, and of course, happiness. According to Hangzhou Network, the system can provide an alert to the teacher when a student's inattentive behaviour reaches a certain value. What else can surveillance cameras do in classroom other than exam supervision?