Fardin Soleimani - - Dept.Computer Scinece , Islamic Azad University Pardis/Tehran/Iran & PhD Candidat in Computer Engineering - Artificial Intelligence in Islamic Azad University South Tehran Branch , Tehran/Iran
Hamidreza Farahani - Dept.Computer Scinece , Islamic Azad University Pardis/Tehran/Iran & PhD Candidat in Computer Engineering - Artificial Intelligence in Islamic Azad University South Tehran Branch , Tehran/Iran
Elahe Rahmati - Dept.Computer Scinece , Islamic Azad University Pardis/Tehran/Iran & PhD Candidat in Computer Engineering - Artificial Intelligence in Islamic Azad University South Tehran Branch , Tehran/Iran
Mahsa Moradi - PhD student in Computer Engineering - Artificial Intelligence in Islamic Azad University South Tehran Branch , Tehran/Iran

currently , in countries such as japan , the united states and europe , there are increasing numbers of patients undergoing treatment at home .in addition , the number of elderly people has increased considerably in the past ۱۵ years , and these people are often treated at home and are entering a critical situation when they may need a need .the use of camera and image processing in the internet of objects , especially in the field of smart houses , is an applied one that is still being studied thoroughly .although the use of images has been widely used to address issues such as safety and care in the house , they have been used to help patients and / or elderly as part of the home care system .in our opinion , these images can help nurses or caregivers to take care of the patients they need , and this can be implemented as easy and affordable by the internet technologies .this article discusses the use of images of the patients and the diagnosis of their emotions to help patients and the elderly in the field of health care at home .we also discuss the existing literature and show that most of the studies have not used images to monitor the patients .in addition , there are few studies that consider the mood of the patients , which is crucial for them to be able to recover from a disease .finally , we outline a general outline of the preliminary prototype which is implemented on several computational and show results that prove the feasibility of our approach .

emotion analysis , facial expression recognition , smart houses , artificial intelligence algorithms