Conversation Aid for People with Low Vision Using Head Mounted Display and Computer Vision Emotion Detection

Author(s):  
Rafael Zuniga ◽  
John Magee
2017 ◽  
Vol 176 ◽  
pp. 26-32 ◽  
Author(s):  
Joshua R. Ehrlich ◽  
Lauro V. Ojeda ◽  
Donna Wicker ◽  
Sherry Day ◽  
Ashley Howson ◽  
...  

Author(s):  
Jean-François Lavigne ◽  
Fabien Claveau ◽  
Stéphane Melançon ◽  
François Lagacé ◽  
Mélanie Leclerc ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Abid Hassan ◽  
M. D. Iftekhar Ali ◽  
Rifat Ahammed ◽  
Sami Bourouis ◽  
Mohammad Monirujjaman Khan

As the COVID-19 pandemic continues, the need for a better health care facility is highlighted more than ever. Besides physical health, mental health conditions have become a significant concern. Unfortunately, there are few opportunities for people to receive mental health care. There are inadequate facilities for seeking mental health support even in big cities, let alone remote areas. This paper presents the structure and implementation procedures for a mental health support system combining technology and professionals. The system is a web platform where mental health seekers can register and use functionalities like NLP-based chatbot for personality assessment, chatting with like-minded people, and one-to-one video conferencing with a mental health professional. The video calling feature of the system has emotion detection capabilities using computer vision. The system also includes downloadable prescription facilities and a payment gateway for secure transactions. From a technological aspect, the conversational NLP-based chatbot and computer vision-powered video calling are the system’s most important features. The system has a documentation facility to analyze the mental health condition over time. The web platform is built using React.js for the frontend and Express.js for the backend. MongoDB is used as the database of the platform. The NLP chatbot is built on a three-layered deep neural network model that is programmed in the Python language and uses the NLTK, TensorFlow, and Keras sequential API. Video conference is one of the most important features of the platform. To create the video calling feature, Express.js, Socket.io, and Socket.io-client have been used. The emotion detection feature is implemented on video conferences using computer vision, Haar Cascade, and TensorFlow. All the implemented features are tested and work fine. The targeted users for the platform are teenagers, youth, and the middle-aged population. Mental health-seeking is still considered taboo in some societies today. Apart from basic established facilities, this social dilemma of undergoing treatment for mental health is causing severe damage to individuals. A solution to this problem can be a remote platform for mental health support. With this goal in mind, this system is designed to provide mental health support to people remotely from anywhere worldwide.


Ophthalmology ◽  
2018 ◽  
pp. 122-152
Author(s):  
Azam Asilian Bidgoli ◽  
Hossein Ebrahimpour-Komleh ◽  
Seyed Jalaleddin Mousavirad

Diabetic retinopathy is proved to be one of the most important eye disorders in recent decades that late diagnosis of it may cause low vision or even blindness. Specialist are able to detect retinopathy in retinal images using machine learning as a decision support system which helps accelerate and facilitate the diagnosis. The automated diabetic retinopathy is a difficult computer vision problem –with the goal of detecting features of retinopathy. The present chapter is written with the purpose of analyzing and comparing different feature extraction methods to evaluate the best algorithm for detection retinopathy with least error. Extracted features using these methods are used to classify images into normal and altered groups.


Author(s):  
Marie-Céline Lorenzini ◽  
Anni M. Hämäläinen ◽  
Walter Wittich

Author(s):  
Allen Shahshahani ◽  
Jake Shahshahani ◽  
Lynne L. Grewe ◽  
Archana Kashyap ◽  
Krishnan Chandran
Keyword(s):  

2014 ◽  
Vol 26 (4) ◽  
pp. 202-208 ◽  
Author(s):  
Chern Sheng Lin ◽  
Hvey-An Jan ◽  
Yun-Long Lay ◽  
Chih-Chia Huang ◽  
Hsien-Tse Chen

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