Summary

Automatic human physiological and psychological state detection is becoming a popular means by which people can learn a person's physical and mental state to interact and react accordingly. There are many applications within smart education, healthcare, and entertainment where these state detection techniques can be useful. Machine learning and DL algorithms are essential for these detection techniques. In the first part of this chapter, we briefly described different IoT applications using human physiological and psychological state detection. We also briefly discussed two potential use cases of IoT where DL algorithms can be useful in human physiological and psychological state detection. The first use case considers an IoT-based remote physiotherapy progress monitoring system. The second use case is an IoT-based smart classroom application that uses facial expressions...