This dataset refers to the paper https://arxiv.org/abs/2306.17062. 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. or Nabeel Nisar Bhat. (2023). Gesture Recognition with mmWave Wi-Fi Access Points: Lessons Learned~Dataset [Data set]. 24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (IEEE WoWMoM 2023).
The dataset is here https://zenodo.org/records/7813244