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This paper introduces Dynamic Influence Weighting (DIW), a knowledge distillation method that improves single-IMU activity recognition by dynamically weighting teacher targets from multiple IMUs during training, achieving significant performance gains.
Ego-OSCAR presents an open-source, low-cost head-mounted stereo-inertial capture device for egocentric data collection, releasing hardware designs, software, and about 550 hours of annotated stereo video with IMU data.
The article describes a personal project to solve range-only relative localization using two microcontrollers with IMUs and UWB, allowing devices to find each other using distance and motion data, inspired by the game Marco Polo.