The week's pick
Reseach Article
Review Paper: Technologies for Facial Emotion Recognition and Chatbots for Depression Handling
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 36 |
| Year of Publication: 2020 |
| Authors: Mayuri Solase, Sonam Pedgaonkar, Mayuresh Pathade |
10.5120/ijca2020919841
|
Mayuri Solase, Sonam Pedgaonkar, Mayuresh Pathade . Review Paper: Technologies for Facial Emotion Recognition and Chatbots for Depression Handling. International Journal of Computer Applications. 177, 36 ( Feb 2020), 11-13. DOI=10.5120/ijca2020919841
Abstract
With the improvement in technology, people are getting nearer through internet society but facing more challenges in their daily life and their interaction with other people. Less interaction can cause one to feel depressed and since people are still busy maintaining their privacy, they are not able to talk about it. In that case, they have to find a way to maintain their mental health in their closest technology. This paper reviews available technologies that can detect facial expressions and how they can be used for mental health. This paper also includes a survey on how the Dialogflow framework can be used to implement a chatbot and help to improve mental health. The main issue that came in this review was to merge the facial recognition and the chatbot part of the app. This issue can be solved by using the IONIC framework since facial recognition and Dialogflow can be embedded in ionic.
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