PAMAP2 Dataset Used for Edge-Efficient Human Activity Recognition Study

This dataset is a redistributed version of the PAMAP2 Physical Activity Monitoring dataset used in our study on edge-efficient human activity recognition using a quantized patch-based Transformer model. The original dataset was obtained from the UCI Machine Learning Repository. Due to accessibility limitations, this version is provided to ensure reproducibility of the experimental results presented in the associated research work. Dataset Details:- Multi-sensor recordings including accelerometer, gyroscope, magnetometer, and heart rate- Data collected from 9 subjects performing various physical activities- Activities include walking, sitting, standing, cycling, running, and others- Raw .dat files from the Protocol directory are included Original Source:https://archive.ics.uci.edu/dataset/231/pamap2+physical+activity+monitoring This dataset is shared strictly for academic and research purposes. Users should cite the original dataset creators when using this data.