الفهرس 
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Abstract
This thesis presents a smart wearable device to help Visually Impaired (VI) people to loco mote within the roads alone, navigate in public streets, and use speech recognition assistance. The system consists of an Arduino board, GPS modules, biosensors, location sensors, cellular 4G connection, and a rechargeable battery. The system is a multisensory system that can help users to navigate and find the optimal paths with sounds. The system works as a friendly tool that is based on sound as support for VI users. The VI people can be tracked by their families and they can get voice assistance, alerts, and vibrations on the wrist. The proposed system provides a speech recognition system with a spoken text used as a helpful tool or even as a guide tool to navigate the direction to get to a defined location. The system provides a tracking camera installed on smart glasses and gives the healthcare providers and the people who registered as trusty people on the system to assist the VI person remotely. The proposed system uses a machine learning model called dynamic time warping to use an online database to look for spoken words as input to match the user speech order with the saved orders in the database. The user can easily ask for the current location and easily can find out the path to get one of the user-defined destinations. The thesis presents the use of the ASR (Automatic speech recognition) system with the Google API to score speech recognition. The system is based on Google maps with speech recognition to work as user assistance. The results of the research results proved that the system works with an accuracy of 97% and can help the person as an effective tool for localization guidance. The system can assist VI people to move and have a better life quality. Chapter 1: Introduction This chapter contains: An introduction that contains a set of statistics related to the blind and visually impaired and how to deal with them in the traditional manner at the present time, as it has been clarified that the main goal is to help them by developing smart devices that work to help them instead of traditional tools. Problem statements: Help Visually Impaired (VI) people. Thesis objectives : Building a smart wearable device to help Visually Impaired Chapter 2: Background This chapter show a dscription for elctonic healthcare, A smart wearable system. E-health can simply mean ””using the Computer-based technologies in the health. A smart wearable system (SWS) is an end-to-end coordinates and associated framework that has the taking after highlights Chapter 3: Related work This chapter shows that many researchers have used accelerometers and vibration feedback based on gesture recognition as a simple system for user interaction. In the past years, there are many new solutions for the blind, the handicapped and the sick to live without any help or human aide and enable them to depend on themselves. Chapter 4: Proposed model This chapter contain the prposed model which help users who wear smart glasses to avoid stumble overdue to the alarm system which is based on the obstacle detection system. Chapter 5: Conclusion and Future work . This chapter contain the result of this thesis and the future works. The proposed system proposed a solution with speech recognition and visual object identification to help People in navigation. Future work we look forward to expanding the use of wearable devices in the field of health care, not only for people with vision impairment, but also those tools can be used to infer data on the patient’s health status and use that data to predict the patient’s future condition and provide medical advice for the case.