The article discusses the integration of brain-computer interfaces (BCIs) with assistive technologies (AT) to improve the lives of disabled individuals. It highlights the current state of BCI technology, which has evolved from early prototypes to more mature systems capable of real-world applications. The paper identifies four key areas where BCI-AT integration can have a significant impact: Communication and Control, Motor Substitution, Entertainment, and Motor Recovery. It reviews the current state of the art and discusses challenges in these areas, including the development of hybrid BCI architectures, user-machine adaptation algorithms, and the incorporation of human-computer interaction (HCI) principles to improve BCI usability. The paper also emphasizes the importance of recognizing user mental states to enhance BCI reliability and confidence measures. Additionally, it discusses the need for better EEG devices and the development of new BCI designs that are more user-friendly and accessible. The article also explores the potential of BCI in various applications, including communication, motor substitution, entertainment, and motor recovery, and highlights the importance of combining BCI with existing AT to improve the quality of life for disabled individuals. The paper concludes that the integration of BCI with AT is essential for the development of practical, user-friendly, and effective assistive technologies.The article discusses the integration of brain-computer interfaces (BCIs) with assistive technologies (AT) to improve the lives of disabled individuals. It highlights the current state of BCI technology, which has evolved from early prototypes to more mature systems capable of real-world applications. The paper identifies four key areas where BCI-AT integration can have a significant impact: Communication and Control, Motor Substitution, Entertainment, and Motor Recovery. It reviews the current state of the art and discusses challenges in these areas, including the development of hybrid BCI architectures, user-machine adaptation algorithms, and the incorporation of human-computer interaction (HCI) principles to improve BCI usability. The paper also emphasizes the importance of recognizing user mental states to enhance BCI reliability and confidence measures. Additionally, it discusses the need for better EEG devices and the development of new BCI designs that are more user-friendly and accessible. The article also explores the potential of BCI in various applications, including communication, motor substitution, entertainment, and motor recovery, and highlights the importance of combining BCI with existing AT to improve the quality of life for disabled individuals. The paper concludes that the integration of BCI with AT is essential for the development of practical, user-friendly, and effective assistive technologies.