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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.
References
- Lorny P 2019, 4 ways to tackle depression. .
- Jodi Clarke 2019, Can artificial intelligence help with depression?
- Anastasia Pampouchidou, Kostas Marias and Fan yang, 2017, Automatic assessment of Depression Based on Visual Cues.
- Vincent muhler 2018, ITNEXT, faceiapi.js- JavaScript API for Face Recognition in Browser with tensorflow.js.
- Gillian Cameron, David Cameron, Gavin Megaw, 2017 Towards a chatbot for digital counselling.
- AnushaVegesna, Pranjal Jain, DhruvPorwal, 2018, Ontology based Chatbot (For E-commerce Website)
- Heru Agus Santoso, Galuh Wilujeng Saraswati, Muhammad Syaifur Rohman, 2018. Dinus Intelligent Assistance (DINA) Chatbot for University Admission Services.
- Satyanarayana, Rajesh Budihal, 2019. Chatbot for Railway using DilougFlow.
- Mandar Deshpande, Vignesh Rao 2017. Depression Detection using Emotion Artificial Intelligence.
- Salik Ram Khanal, Vítor Filipe, Jaime Sampaio , Nuno Lopes, 2017, Performance analysis of Microsoft’s and Google’s Emotion Recognition API using pose-invariant faces.
- Lars Bollweg, Maik Kurzke, Asif Shahriar, Peter Weber, 2018, When Robots Talk - Improving the Scalability of Practical Assignments in MOOCs Using Chatbots.
- Xiuzhuang Zhou, Kai Jin, Yuanyuan Shang, and Guodong Guo, 2018, Visually Interpretable Representation Learning for Depression Recognition from Facial Images.
- Sarmad Al-gawwam, Mohammed Benaissa, 2018. Depression Detection From Eye Blink Features
- Lang He, Dongmei Jiang, and HichemSahli 2018. Automatic Depression Analysis using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encoding
- Hassan Ali Mohammadi Motlagh, Behrouz Minaei Bidgoli, Akbar Parvizi Fard 2017, Design and implementation of a web-based fuzzy expert system for diagnosing depressive disorder.
- Anushri Arora, Akanksha Joshi, Kruttika Jain, Shashank Dokania, Dr. Pravin Srinath 2018, Unraveling Depression Using Machine Intelligence
- Vishal Kumar Gupta, Pooja Asthana, 2019. Role of Artificial Intelligence in Dealing with Emotional and Behavioural Disorders
- Uditesh Jha, Keyur Khant, Milan Kotadiya, Kirti Gamdha, Prof. Zalak Kansagra 2019 To Alleviate Depression by Interactive Artificial Conversation Entity
- Hengjin Ke Chen, Tejal Shah,Xianzeng, Liu,Xinhua, Zhang Lei, Zhang Xiaoli Li Cloud‐aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN.
- AM Rahman, Abdullah Al Mamun, Alma Islam, 2017 Programming challenges of Chatbot: Current and Future Prospective.
- Andrea Gaggioli 2019. Online Emotion Recognition Services Are a Hot Trend
- Libby Ferland, Ziwei Li, Shridhar Sukhani, Joan Zheng, Luyang Zhao,2018. Maria Gin Assistive AI for Coping with Memory Loss
- Emily Harris Canning, Robert D Canning, 2015. Depression Symptoms And Adaptive Style in Children
- Darren Foster, Carolyn McGregor, 2017. A survey of Agent-Based Intelligent Decision Support Systems to Support Clinical Management and Research
- Borja Martinez-perez, Isabel de la Terre-Diez, 2013. Mobile Health Applications For Most Prevalent Conditions By World Health Organization: Review And Analysis
- Will Knight, 2018. Your smartphones Ai algorithms could tell if you are depressed
- Anees Ul Hassan, Jamil Hussain, Musarrat Hussain, Muhammad Sadiq, Sungyoung Lee, 2017. Sentiment Analysis of Social Networking Sites (SNS) Data using Machine Learning Approach for the Measurement of Depression
- Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Of odile , 2017. Automatic Recognition of Facial Displays of Unfelt Emotions
- N Wani, D Bodade, S Gunjal, V Mahadik, 2016. A Survey on: Image Process using Two-Stage Crawler International Journal of Computer Applications 975, 8887
- Bharat, V., Shelale, B., Khandelwal, K. and Navsare, S., 2016. A review paper on data mining techniques. International Journal of Engineering Science and Computing (IJESC), 6(5), pp.6268-6271.
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