USI-HEAR Dataset

This is the open repository for the USI-HEAR dataset.

USI-HEAR is a dataset containing inertial data collected from Nokia Bell Labs' eSense earbuds. The eSense's left unit contains a 6-axis IMU (i.e., 3-axis accelerometer and 3-axis gyroscope). The dataset is comprised of data collected from 30 different participants performing 7 scripted activities (headshaking, nodding, speaking, eating, staying still, walking, and walking while speaking). Each activity was  recorded over ~180 seconds. Data sampling rate is variable (with a universal lower-bound of ~60Hz) due to Android's API limitations.

Current contents:

raw_data.zip: raw sensor data, with participants' demographic information

dataset_preprocessed.zip: pre-processed data used for the corresponding publications (for reproducibility purposes)

Until the main publication corresponding to the dataset is available, we kindly ask you to contact the first author to request access to the data.

In future versions, the repository will also include:

processed data

downsampled versions

extracted features

code for the data analysis related to the (yet-unpublished) dataset's publication, containing a HAR pipeline analysis with both ML and DL techniques