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Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation.

Shahzadi TayyabaMuhammad Waseem AshrafThamer AlquthamiZubair AhmadSaher Manzoor
Published in: Sensors (Basel, Switzerland) (2020)
The demand of devices for safe mobility of blind people is increasing with advancement in wireless communication. Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. A model of a smart home for safe and robust mobility of blind people has been proposed. Fuzzy logic has been used for simulation. Outputs from the internet of things (IoT) devices comprising sensors and bluetooth are taken as input of the fuzzy controller. Rules have been developed based on the conditions and requirements of the blind person to generate decisions as output. These outputs are communicated through IoT devices to assist the blind person or user for safe movement. The proposed system provides the user with easy navigation and obstacle avoidance.
Keyphrases
  • healthcare
  • neural network
  • machine learning
  • low cost
  • social media
  • deep learning