Ling Ren

Carbon-based sensors are poised to facilitate a seamless human-machine interface

• A team of materials scientists led by Tian-Ling Ren from Tsinghua University in Beijing, China recently outlined the state of graphene-based HMI sensor technology to advance research in the field. Advanced sensor technologies that are flexible, lightweight and can be worn continuously are ideal for Additionally, we delve into potential future developments for graphene-based sensors, including multi-modality, improved comfort, and intelligence," said Tian-Ling Ren, senior author of the review paper, professor in the School of Integrated Circuit and deputy dean of the School of Information Scienose, mouth, throat, fingertips, skin, joints, and feet can all be used as HMI interfaces based on electroencephalogram (EEG), electromyography (EMG), electrooculogram (EOG), eye movement, light, breathing, voice, touch, temperature, movement, gait and other physiological information," Tian-Ling RenTian-Ling Ren said, "With the help of machine learning, this interface can achieve speech recognition, emotion analysis, content processing, and more, making it ideal for intelligent robotic communication."
• Date: Nov 06, 2023
• Category: Science
• Source: Google