Abstract
Wearable electroencephalography (EEG) devices are emerging as crucial tools in human-robot interaction (HRI), enabling intuitive and effective communication between humans and robots. These devices non-invasively measure brain activity, providing real-time insights into a user’s mental state, intentions, and cognitive load. This paper explores the advancements and applications of wearable ear EEG technology in HRI, with a focus on detecting human intent, monitoring emotional and cognitive states, and delivering real-time feedback for adaptive robot behavior. The benefits of wearable EEG over traditional scalp EEG, such as enhanced user comfort, reduced setup time, and improved long-term wearability, are thoroughly examined. Additionally, the paper covers advanced applications, including emotion-aware adaptive interactions, neurofeedback training, and direct robot control via brain-computer interfaces (BCIs). A review of the latest advancements in device miniaturization, integration with other wearable sensors, and applications in virtual reality, gaming, and healthcare is provided. Future directions focus on expanding applications, enhancing human-AI collaboration, and improving accuracy and reliability in HRI. The studies discussed in this paper represent our state-of-the-art research across various fields and applications of wearable EEG systems. This study highlights the potential of wearable Ear-EEG devices to revolutionize human-robot interactions by enhancing customization, responsiveness, and overall efficacy.