This dataset refers to the paper Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned.
The dataset consists of beam SNR samples corresponding to a set of 10 gestures across three people and two environments.
If you find this work useful, please cite the original article:
N. N. Bhat, R. Berkvens and J. Famaey, "Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned," 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, 2023, pp. 127–136, doi: 10.1109/WoWMoM57956.2023.00027.
Dataset: https://zenodo.org/records/7813244
We have released a new dataset, mmHSense, available on IEEE Dataport.
📄 The corresponding paper is available on arXiv:2509.21396.
🚀 Check it out — this is our latest and most comprehensive multi-modal mmWave ISAC dataset!