Real Time Solution for Prosopagnosia
Abhilash Manu1, Aravind H S2
1Abhilash Manu, Solution Architect Products, SCS Accenture Bengaluru (Karnataka), India.
2Dr. Aravind H S, Professor, Department of ECE, JSSATE, Bengaluru (Karnataka), India.
Manuscript received on 05 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 29 June 2019 | PP: 266-271 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10530585S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper aims at building a prototype for solving the problem of a rare neurological disorder ‘Prosopagnosia’. It is also called face blindness / facial agnosia. This is a behavioral disorder of face perception that impairs the ability to detect familiar faces, which include one’s own face, while other forms of visual processing and intellectual functioning remain intact. The Extensive research has indicated 1 out of 50 people may have this neurological disorder. In order to help the significant number of affected people overcome this difficulty, we have built a prototype which uses a camera to capture the image and an appropriate face recognition code using the Histogram of Oriented Gradients (HOG) approach is implemented for face detection. After detection, SVM classifier is used for classification and the name of the identified person will be displayed. Simultaneously, the conversation is being recorded and text mining is performed to extract the keywords of the conversation. The result is displayed on a suitable interface. The hardware module Raspberry Pi is used as a processor for processing the incoming image and audio data.
Keywords: Prosopagnosia, Raspberry Pi, HOG, Healthcare Applications, Internet of Things.
Scope of the Article: Real-Time Information Systems