Human physiological and psychological states can provide very useful information about a person's activity and emotions. This information can be used in many application domains, including smart homes, smart cars, entertainment, education, rehabilitation and health support, sports, and industrial manufacturing, to improve existing services and/or offer new services. Many IoT applications incorporate sensors and processors for human pose estimation or activity and emotion recognition. However, the detection of activities or emotions based on the sensor data is a challenging task. In recent years, DL-based approaches have become a popular and effective way to address this challenge.
This chapter presents DL-based human physiological and psychological state detection techniques for IoT applications in general. The first...
