Hand Gesture Accelerometer and Gyroscope Dataset (HGAG-DATA)

This dataset includes information from 43 healthy participants (26 males and 17 females). The participants encompass an extensive age range of 18 to 69 years and are classified by dominant hand, comprising 34 right-handed and 9 left-handed individuals. Furthermore, they are categorized according to physical activity levels, comprising 28 non-athletic individuals and 15 athletic individuals. All participants were equipped, trained, and directed to perform 11 essential gestures relevant in many circumstances and closely linked to daily life requirements. The motions encompass clapping, coin flipping, finger snapping, fist making, horizontal wrist extension, index finger flicking, index thumb tapping, shooting, thumbs up, wrist extension, and wrist flexion. The dataset comprises 23,650 six-dimensional gesture samples, captured at a rate of 550 samples per subject following 50 repetitions of each of the eleven motions (11x50x43 = 23,650). Each gesture sample consisted of six directional time series signals, incorporating two signals for each of the x, y, and z axes from the accelerometer and gyroscope sensors. This dataset comprises a total of 141,900 signals (23,650 x 6 = 141,900). Consequently, this can serve as a significant resource for handling extensive data sets, such as those utilized in the development of machine learning and deep learning models, and as a reference dataset, it facilitates model benchmarking. The data will be especially helpful for societies that work with biomedical signals when they are trying to recognize and classify hand gestures for use in human-computer interaction (HCI) tasks. The dataset has been uploaded and is accessible online in two distinct hierarchical configurations. The initial structure categorizes the data according to the gesture name, but the subsequent structure arranges it by subject number. This configuration enhances potential advantages and facilitates management, permitting the reassembly of data in many formats as required.