FATIGUE DETECTION AND AGE ESTIMATION BASED ON FACIAL CHARACTERISTICS USING COMPUTER VISION TECHNOLOGY

• Main Author: Silvia
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/53869
• Institution: Institut Teknologi Bandung

The face is the most distinctive feature of humans that differentiates one individual from another. The face consists of local features and global features. With the help of computer vision technology, these features can be easily extracted to obtain additional information about a person such as age, gender, even physical condition (fatigue), and so on. A person who is tired will experience a decrease in work effectiveness, concentration, and the ability to react quickly when unexpected events occur. The effects that arise from fatigue are very fatal, including causing accidents and even death. Some statistical data produced by international organizations shows that accidents caused by fatigue have a relatively large percentage. Based on information, we know that the issue about fatigue is very crucial. Fatigue can be detected on the face by observing the mouth and face. Through the mouth, we can know how often someone yawns and through the eyes how often someone blinks. Although fatigue detection has been developed in several studies, these studies are only limited to providing detection results or giving warnings if the system detects signs of fatigue without being accompanied by other health suggestions. Therefore, through this research, a prototype for fatigue detection and age estimation will be developed which will be complemented with advice on health by considering the age factor. To realize this prototype, this research is equipped with the modelling on age estimation and the development of algorithm for fatigue detection based on facial features.