Search Results for author:
Found 2 papers, 1 papers with code
NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT
To enhance the tracking accuracy for indoor robotic applications, we introduce NeurIT, a sequence-to-sequence framework that elevates tracking accuracy to a new level.
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
Our study, HARGPT, presents an affirmative answer by demonstrating that LLMs can comprehend raw IMU data and perform HAR tasks in a zero-shot manner, with only appropriate prompts.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
