Multi-modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration and Environmental Data

This dataset provides over 43000 samples of 25 different human activities (e.g. walking, opening/closing a door, sitting down, vacuum cleaning). Each sample is recorded by 5 sensor devices with multiple types of sensors. The main part is audio and vibration. Further metrics were recorded at a low frequency, and are: infrared array, light color, temperature, relative humidity, atmospheric pressure, air quality measure, volatile organic compounds and CO2 equivalent. The data was recorded in supervised sessions to label each sample. The recording environment consisted of a kitchen and dining room. Flawed samples were removed and the different metrics were synchronized, but no further processing or filtering of the data was performed.Funding: This work was supported by the Federal Ministry of Economic Affairs and Energy (BMWi) in the ForeSight project under the Grant 01MK20004G