Datasets:
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---
license: ecl-2.0
task_categories:
- text-classification
- feature-extraction
language:
- en
tags:
- public
- text
- tabular
- education
- multivariate
- time-series
pretty_name: Smartphone and Smartwatch Activity and Biometrics 15m6
size_categories:
- 1M<n<10M
configs:
- config_name: dataset
data_files:
- split: train
path:
- "phone_csv/accel/*.csv"
- "phone_csv/gyro/*.csv"
- "watch_csv/accel/*.csv"
- "watch_csv/gyro/*.csv"
---
# Smartphone and Smartwatch Activity and Biometrics 15m6
A 15.6-million-sample, multi-device time-series corpus that unites 3-axis accelerometer and gyroscope streams from 51 volunteers. Each participant carried a smartphone and smartwatch while performing 18 everyday activities for three minutes apiece, generating synchronized recordings sampled at 20 Hz.
Every record is formatted as:
- **subject_id** – integer 1600–1650 uniquely identifying the volunteer
- **activity_code** – single ASCII letter A–S (the letter N is deliberately skipped) denoting the performed activity:
- "A" - Walking
- "B" - Jogging
- "C" - Stairs
- "D" - Sitting
- "E" - Standing
- "F" - Typing
- "G" - Brushing Teet
- "H" - Eating Soup
- "I" - Eating Chips
- "J" - Eating Pasta
- "K" - Driking from Cup
- "L" - Eating Sandwich
- "M" - Kicking (Soccer Ball)
- "O" - Playing Catch w/ Tennis Ball
- "P" - Dribbling (Basketball)
- "Q" - Writing
- "R" - Clapping
- "S" - Folding Clothes
- **timestamp** – Unix epoch in seconds
- **x, y, z** – instantaneous sensor readings for the corresponding device and modality
The dataset is split into four directories—phone-accelerometer, phone-gyroscope, watch-accelerometer, watch-gyroscope—each holding 51 per-subject files. Alongside raw traces, pre-computed 10-second sliding-window features are provided, enabling both activity-recognition and behavioral-biometric research.
**Acknowledgements**: The dataset is hosted at the [UCI MLR—Smartphone and Smartwatch Activity and Biometrics](https://archive.ics.uci.edu/dataset/507/wisdm+smartphone+and+smartwatch+activity+and+biometrics+dataset) |