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Hasby Fahrudin
Institut Teknologi Sepuluh Nopember
Electrical & Electronics Engineering

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Deep learning based facial expressions recognition system for assisting visually impaired persons Hendra Kusuma; Muhammad Attamimi; Hasby Fahrudin
Bulletin of Electrical Engineering and Informatics Vol 9, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1306.358 KB) | DOI: 10.11591/eei.v9i3.2030

Abstract

In general, a good interaction including communication can be achieved when verbal and non-verbal information such as body movements, gestures, facial expressions, can be processed in two directions between the speaker and listener. Especially the facial expression is one of the indicators of the inner state of the speaker and/or the listener during the communication. Therefore, recognizing the facial expressions is necessary and becomes the important ability in communication. Such ability will be a challenge for the visually impaired persons. This fact motivated us to develop a facial recognition system. Our system is based on deep learning algorithm. We implemented the proposed system on a wearable device which enables the visually impaired persons to recognize facial expressions during the communication. We have conducted several experiments involving the visually impaired persons to validate our proposed system and the promising results were achieved.
Co-Authors Kusuma, Hendra Siswanto Muhammad Attamimi