It is widely used in face recognition and expression classification, due to its remarkable performance in extracting face shape and texture information.
Gosh, too many to count: improved balance, muscle tone, body coordination, motor planning, discipline, self confidence, proprioceptive skills, emotional recognition and expression, social skills..
Moreover, versatility is one of its outstanding traits because, in our experiments, it could succeed in both object recognition and facial expression recognition applications.
To the best of our knowledge, our approach is the first to apply the proposed method to both object recognition and facial expression recognition.
In facial expression recognition, there are neutral-, hanger-,anger-, and surprise-expression recognition, and some expression recognition results are shown in Figure 2; In object recognition, the proposed method is designed for classifying faces, cars, and sheep.
However, the independence of face recognition and facial expression recognition is not complete.
Our emotional exchange framework is composed of the emotion recognition, generation, and expression systems.
Section 2 describes the experiments, and conclusions are drawn in Section 2. We will first revisit related works on object recognition and facial expression recognition in this section.
Fig. 7 Demonstration of object recognition, scene classification, event classification, and expression recognition accuracy using different thresholds.
