The paper "Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges" by J. d. R. Millán et al. reviews the advancements and future prospects of brain–computer interface (BCI) technology, particularly in its integration with assistive technologies (AT) to improve the lives of disabled individuals. The authors identify four key application areas where BCI can significantly benefit disabled people: Communication and Control, Motor Substitution, Entertainment, and Motor Recovery. They discuss the current state-of-the-art in each area, highlighting the need for practical BCI applications that can be used outside the lab. The paper also addresses several research challenges, including the development of hybrid BCI architectures, user-machine adaptation algorithms, and the exploitation of mental states for reliability and confidence measures. Additionally, it explores the integration of human–computer interaction (HCI) principles to enhance BCI usability and the development of novel BCI technology, such as better EEG devices. The authors emphasize the importance of combining BCI with existing AT to create more effective and accessible solutions for disabled individuals.The paper "Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges" by J. d. R. Millán et al. reviews the advancements and future prospects of brain–computer interface (BCI) technology, particularly in its integration with assistive technologies (AT) to improve the lives of disabled individuals. The authors identify four key application areas where BCI can significantly benefit disabled people: Communication and Control, Motor Substitution, Entertainment, and Motor Recovery. They discuss the current state-of-the-art in each area, highlighting the need for practical BCI applications that can be used outside the lab. The paper also addresses several research challenges, including the development of hybrid BCI architectures, user-machine adaptation algorithms, and the exploitation of mental states for reliability and confidence measures. Additionally, it explores the integration of human–computer interaction (HCI) principles to enhance BCI usability and the development of novel BCI technology, such as better EEG devices. The authors emphasize the importance of combining BCI with existing AT to create more effective and accessible solutions for disabled individuals.