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Found 3 papers, 0 papers with code
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control.
Surgical task expertise detected by a self-organizing neural network map
Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchmark criteria that tell true expert task skills from the skills of novices or trainee surgeons.
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection
Segmentation-based scene text detection methods have been widely adopted for arbitrary-shaped text detection recently, since they make accurate pixel-level predictions on curved text instances and can facilitate real-time inference without time-consuming processing on anchors.
