Abstract: Surgical interaction recognition (SIR) plays a crucial role in navigation decision support for minimally invasive surgery (MIS) or robot-assisted MIS. Currently, the research in SIR is at a ...

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...

The company’s Brain2Qwerty v2 system can translate brainscans into coherent sentences, no invasive surgery required.

The HE Series iToF depth decoder IC’s hardware-based architecture significantly improves processing efficiency and reduces system latency compared with conventional software-based depth processing ...