Shi Cheng’s research while affiliated with Nantong University and other places

... Measurements of physiological signals include neuronal electrical activity by electroencephalogram (EEG) [8], eye movements by eye movement (EOG) [9], heart rate by electrocardiogram (ECG) [10], muscle activity by electromyogram (EMG) [11], and tissue oxygenation by near-infrared spectroscopy (NIRS) [12], etc. In the 1980s, correlations between EEG and cerebral neurological decline were carried out in foreign studies which showed that EEG is sensitive to fluctuations in alertness, EEG changes more significantly with changes in alertness, and EEG can predict the decline in brain performance caused by sustained mental effort; in the 1990s, EEG research was further advanced, and people began to focus on changes in various bands of EEG during cerebral neurasthenia, and studies found that reduced alertness and fatigue in humans. ...

Reference:

Modeling and analysis of fatigue detection with multi-channel data fusion

... By extracting knowledge from dialogue business processes, voice information, and customer service experience and combining it with structured standard Q&A pairs in customer service KB, the power customer service KG is built with both top-down and bottom-up methods. The service process combined with the neural network model provides users with business consultation, fault recovery, and user satisfaction surveys, and other functions accurately and effectively locate their requests, realize efficient knowledge management [107], knowledge Q&A [108,109], and recommendation [110]. Therefore, intelligent customer service has become a research hotspot in the electric power field. ...

Reference:

A Review of Knowledge Graph-Based Reasoning Technology in the Operation of Power Systems