ASSIST-IoT Multimodal Fall Detection Dataset

Multimodal dataset for fall detection. Includes acceleration data collected from a tag and two smartwatches, and location reported by the tag. More details about the data collection procedure can be found in notes.md.

Contents

The repository contains:

• data/location_data.csv and data/full_acceleration – preprocessed acceleration and location data from 10 participants and mannequin simulated falls with target variable identified
• data/subsampled_acceleration_data.csv – subsampled acceleration dataset used for training the AI model
• notes.md – description of activities performed and notes from data collection
• videos – reference videos for performed activities

Authors

• Piotr Sowiński – research methodology, data collection and processing
• Monika Kobus – research methodology, data collection
• Anna Dąbrowska – research methodology, methodological supervision
• Kajetan Rachwał – data collection
• Karolina Bogacka – research methodology
• Krzysztof Baszczyński – research methodology, data collection
• Anastasiya Danilenka – research methodology, data collection and processing

Acknowledgements

This work is part of the ASSIST-IoT project that has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No 957258.

The Central Institute for Labour Protection – National Research Institute provided facilities and equipment for data collection.

License

The dataset is licensed under the Creative Commons Attribution 4.0 International License.