Micro-expressions are brief, involuntary facial movements that reveal genuine emotions. However, extracting and learning features from micro-expressions poses challenges due to their short duration low intensity. To address this problem, we propose the ADMME (Action Decouple Multi-tasking for Micro-Expression Recognition) method. In our model, adopt a pseudo-siamese network architecture leverag...

Abstract To maintain a robust catalog of resident space objects (RSOs), situational awareness (SSA) mission operators depend on ground- and space-based sensors to repeatedly detect, characterize, track in orbit. Although some are capable monitoring large swaths the sky with wide fields view (FOVs), others—such as maneuverable optical telescopes, narrow-band imaging radars, or satellite laser-ra...

NAND flash memory has been widely used as a nonvolatile storage for data. However, it does not support byte-level random access and hence directly executing program codes from NAND flash memory is not possible. Thus, we have to use RAM as working storage for preloading the program codes and executing them from RAM. This approach, however, requires a large amount of expensive RAM as the program ...

Background. People with Parkinson’s disease (PD) often fall while multitasking or walking backward, unavoidable activities in daily living. Dual tasks involving cognitive demand during gait and unfamiliar motor skills, such as backward walking, could identify those with fall risk, but dual tasking while walking backward has not been examined in those with PD, those who experience freezing of ga...

Working memory can be a major source of interference in dual tasking. However, there is no consensus on whether this interference is the result of a single working memory bottleneck, or of interactions between different working memory components that together form a complete working-memory system. We report a behavioral and an fMRI dataset in which working memory requirements are manipulated du...