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Researchers at Ulsan National Institute of Science and Technology (UNIST) have recently unveiled a groundbreaking technology for real-time human emotion recognition that has the potential to transform various industries, particularly in the realm of wearable systems. The team’s innovation addresses the challenge of interpreting abstract emotional data by creating a multi-modal system that combines verbal and non-verbal expression data. This cutting-edge system utilizes a personalized skin-integrated facial interface (PSiFI) powered by friction charging, which incorporates a bidirectional triboelectric strain and vibration sensor for simultaneous data sensing and integration. The fully integrated data processing circuit ensures wireless real-time emotion recognition, even when individuals are wearing masks.

The technology’s impressive accuracy in identifying human emotions was demonstrated in a digital concierge application within virtual reality (VR) environments. By integrating information from facial muscle deformation and vocal cord vibrations, the system offers personalized services based on users’ emotions. This development opens up possibilities for portable emotion recognition devices and next-generation digital platform services.

Collaboration with Nanyang Technical University in Singapore, supported by the National Research Foundation of Korea (NRF) and the Korea Institute of Materials (KIMS), underscores the importance of this advancement in human-machine interface (HMI) devices. This pioneering work paves the way for enhanced interaction capabilities between humans and machines, leading to more personalized experiences in various industries such as healthcare, education, entertainment, and more.

In conclusion, UNIST researchers have created a revolutionary technology that can accurately recognize human emotions in real-time through a multi-modal system. This innovation has immense potential to transform various industries with wearable systems that offer personalized services based on users’ emotions. Collaboration with Nanyang Technical University highlights the significance of this advancement in HMI devices, leading to more intuitive interactions between humans and machines.

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