---
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)