FluSense

FluSense is a dataset of segmented audio events derived from the FluSense platform, a contactless influenza-like illness surveillance system.

This dataset is intended for use in flu symptom detection.

Dataset Structure

Each sample includes:

• audio: audio segment (waveform and sampling rate)
• label: string label (e.g., "cough", "speech", etc.)

Labels

The dataset includes the following sound event classes:

• cough
• sneeze
• sniffle
• speech
• silence
• throat-clearing
• burp
• hiccup
• gasp
• breathe

Excluded labels include: vomit, wheeze, snore, and etc.

Source

Segments were extracted from original FluSense recordings and aligned using expert-generated TextGrid annotations. Each .wav file corresponds to a labeled interval.

Use Cases

• Influenza symptom detection
• Syndromic surveillance modeling
• Sound event detection in healthcare environments
• Audio classification benchmarking

License

This dataset is released under the MIT License.

Citation

If you use this dataset, please cite the following work:

@article{10.1145/3381014,
  author = {Al Hossain, Forsad and Lover, Andrew A. and Corey, George A. and Reich, Nicholas G. and Rahman, Tauhidur},
  title = {FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas},
  year = {2020},
  issue_date = {March 2020},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {4},
  number = {1},
  url = {https://doi.org/10.1145/3381014},
  doi = {10.1145/3381014},
  journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
  month = mar,
  articleno = {Article 1},
  numpages = {28},
  keywords = {Contactless Sensing, Crowd Behavior Mining, Edge Computing, Influenza Surveillance}
}