A Comprehensive Survey on Emotion Based Health Prediction Using Internet of Things and Machine Learning

The Internet of Things (IoT) marks clever objects the last word structure blocks interior the time of computer-generated right persistent contexts. The IoT carries a type of utility fields, alongside health care. The IoT revolutions is restructuring stylish fitness care with talented scientific, financial, and then common views. This article studies progresses in IoT mostly generated health care technologies and analyses the progressive community planning/platforms, applications, and engineering trends in IoT-based fitness care solution. There are some Objectives-to check the user’s health details and update to Server via an advanced Internet of Things [IOT] and the Care takers or other persons can immediately check the patient’s condition without any hidden activities, reduced duplication of diagnostic testing. Emotion is a strong instinctive and intuitive feeling in people who arise from one’s situations, circumstances, mood and dating with others. So, emotions are a mental state of person which cannot be stopped. Thus, Emotion Recognition is an important challenge when speaking about human-system interplay and to doing the evaluation and controlling of feelings. Emotion can be detected using many strategies like facial expressions, speech, body gesture and mental signals. We have used facial expression based on total health emotion identity approach.