InGesture Dataset

Data are organized in a clear, hierarchical folder structure under a single root directory named InGesture. At the top level, each participant has a dedicated folder (e.g., Subject01, Subject02, …), and within those, one or more session subfolders contain the raw recordings and segmented gesture files. Two complementary formats are provided: Segmented gesture files Each CSV file corresponds to a single occurrence of a specific gesture. Filenames encode the gesture label, repetition index, and sample count (for example, fluid_intake_1_900.csv). Columns include: timestamp (sensor capture time) x, y, z (accelerometer readings in m/s²) gx, gy, gz (gyroscope readings in °/s) Because each file contains only one gesture class, no label column is needed—classification can be inferred from the filename or parent folder. Continuous session files Each file captures an uninterrupted ~10-minute recording at 200 Hz, yielding about 120,000 samples per session. Columns include: timestamp accX, accY, accZ (linear acceleration) gyrX, gyrY, gyrZ (angular velocity) label (integer code 0–7 denoting the current gesture) Gesture codes map as follows: 0 – free activity 1 – fluid intake 2 – answering phone 3 – scratching head 4 – passing hand over face 5 – adjusting glasses/touching temples 6 – holding chin 7 – stretching hands behind neck Across 65 sessions (most participants contributed one session, some two or more), there are roughly 2,080 segmented files (8 gestures × 4 repetitions × 65 sessions) and 65 continuous recordings. All data were acquired with a WT901BLECL5 inertial measurement unit secured on the dominant wrist and sampled at 200 Hz. Real-time gesture boundaries were annotated via a synchronized mobile app, ensuring that each sensor sample aligns precisely with its gesture label.