Depression Detection using BDI, Speech Recognition and Facial Recognition

Prathamesh Raut
2018 International Journal for Research in Applied Science and Engineering Technology  
Mood of human beings is something that defines the inherent emotions of a person. Detection of mood is very important in such cases. For the detection, some android applications are being designed so that using the speech signals mood of a person is determined. Texts, speech inputs, facial expressions are considered. Then depending on the result doctors or the experts examine the type of mood whether happy, depressed or sad. BDI scores are then calculated and found what the type of mood is.
more » ... ession is a global growing cause for concern and is a major contributor in terms of total years lost due to disability. This makes it easy to determine type of mood. Depression is one of the most prevalent disorders, typically associated with negative emotions, such as sadness and helplessness. BDI (Beck Depression Inventory) is test done on computer to detect depression on a certain scale. Speech signals are made up of voiced, unvoiced and silence intervals, which can be estimated by segmenting the sampled signals based on their energy values. Facial expressions are the captured keeping in mind a certain gesture of the human face. By using these three tests we can effectively determine the depression level of a certain person.
doi:10.22214/ijraset.2018.4062 fatcat:h3zhe3k6tjca5o3lk3tyd7xz4e