IEEE

Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset

Abstract: Mental workload (MW) assessment measures the cognitive effort required to perform tasks and is crucial in fields such as aviation, clinical medicine, and healthcare. This study addresses the ...
IEEE

Enhancing FT-Transformer With a Matérn-Driven Kolmogorov-Arnold Feature Tokenizer for Tabular Data-Based In-Bed Posture Classification

Abstract: In-bed posture classification plays a crucial role in health monitoring. In this paper, we explore in-bed posture classification using FT-Transformer, a model that employs 1D tabular inputs ...