Sentence examples for expression recognition module from inspiring English sources

Our facial expression recognition module achieved average recognition accuracy of 76.5 and 77.1% on each neural network.

Table 3 Performance of neural network-based facial expression recognition module Neural network #1 Neural network #2 Neutral 77.4 Neutral 64.1 Happy 84.1 Happy 83.1 Angry 66.1 Angry 81.4 Sad 78.4 Sad 79.9 Average 76.5 Average 77.1.

Even though various classifiers such as HMM and SVM have been fed into speech emotion recognition tasks, we employ the neural network-based classifier used in the facial expression recognition module in order to efficiently handle the fusion process in which the recognition results of two indicators are integrated.

The detected facial image is submitted to the module for facial expression recognition.

The proposed system includes an image detection and recognition module, safety message broadcasting module, vehicle list construction module and the user interface module.

The recognition module continuously monitors vehicle’s sensor data.

The system consists of the preprocessing and recognition module.

It also includes a deep recognition module and an action evaluation module to nurse the body.

Besides, it also works well on real-time expression recognition.

This study improves the recognition accuracy and execution time of facial expression recognition system.

Facial expression recognition is an important research issue in the pattern recognition field.