Development of Core AI Signal Processing Technology through Industry-Academic Cooperation in Gyeonggi-do

Sungkyunkwan University, conducting the Gyeonggi-do Regional Cooperation Research Center (GRRC) project, has succeeded in developing an artificial intelligence (AI)-based signal processing technology with accuracy superior to existing smart sensors. This technology is expected to be applied in the wearable field, which involves smart devices worn on the human body, and to be widely utilized in medical and industrial manufacturing sectors.

The Gyeonggi-do Regional Cooperation Research Center project is an industry-academia cooperation model that supports joint research and development activities at 11 centers within the province, including Sungkyunkwan University, to assist small and medium-sized enterprises in the province that lack research and development infrastructure.

Professor Kim Young-hoon’s team from the Department of Materials Science and Engineering at Sungkyunkwan University improved the function of a multimodal sensor, one of the smart sensors that detect targets and cause objects to respond, by utilizing nanomaterials.

Existing sensors used separate modules?a ‘temperature sensor module’ that responds only to temperature and a ‘pressure sensor module’ that responds only to pressure?resulting in a complex structure, reduced accuracy, or difficulties in signal transmission. The team improved this by enabling simultaneous detection of temperature and pressure.

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The research team explained that the significance lies in successfully classifying both the types and intensities of temperature and pressure signal data simultaneously through an artificial deep learning model and repetitive training, thereby enhancing accuracy.

This technology, capable of multi-detection with high data recognition accuracy and low power consumption, can be applied in wearable-related industries and manufacturing fields to significantly improve workers’ working environments. It is especially expected to be widely used in fields requiring high accuracy, such as medical and robotics sectors.

Professor Kim Young-hoon stated, "We have overcome the signal processing limitations of existing smart multimodal sensors and presented a technical approach for more accurate discrimination of multiple stimuli, which is expected to enable broad applications in smart wearable applications."

Meanwhile, the research results were published in the February 1 issue of ‘Nano Energy,’ a prestigious international journal in the fields of physics and chemistry.

This content was produced with the assistance of AI translation services.