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The concept of Smart Glasses has evolved since the introduction of early prototypes of the 1990s, only to gain wide acceptance recently. The global smart glasses market has recently experienced significant growth and is pre-dicted for further expansion. They can be tailored to many types of consum-er classes and industries, with several benefits. Like other IoT devices, Smart Glasses may be embedded with sensors to gather data which is then shared with other devices. Machine learning algorithms can be used for processing, sensor fusion, or classification and decision-making. Smart Glasses can also enhance productivity for medical practitioners, allowing them to view patient records or assist them during surgical procedures. New apps utilization such eyewear can also be an assistive technology, enhancing the quality of life for People with Disabilities. The paper provides a review of recent research on the applications of smart glasses, address critical research challenges, and the status of current smart glasses on the market. It also highlights key research issues that should be addressed in the short and long term to bring these powerful tools into mainstream usage. 

This survey paper aims to provide an overview of the current state of EEG (Electroencephalography) signal technology as it relates to people with disabilities. It will highlight the various methods and techniques employed, discussing their advantages and disadvantages. The paper will also examine the applications of EEG technology in assisting individuals with disabilities, specifically focusing on Brain-Computer Interfaces (BCIs) and assistive device control. By understanding the current state of EEG signal technology, we can identify the opportunities and challenges involved in utilizing this technology to improve the lives of people with disabilities