harvardairobotics/

IMU-HAR

	IMU-HAR: IMU Human Activity Recognition




	
	Dataset Summary

IMU-HAR (IMU Human Activity Recognition) is a ~160K-sample behavioral activity recognition dataset built from the Ego4D egocentric video corpus. It pairs head-mounted IMU signals (6-axis accelerometer + gyroscope at 50 Hz) from Ego4D with behavioral-level action labels — what the user is functionally doing, not just how they are physically moving. Unlike prior IMU datasets targeting motion primitives (walking… See the full description on the dataset page: https://huggingface.co/datasets/harvardairobotics/IMU-HAR.