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: default
data_files:
- split: train
path:
- "phone_raw/accel/*.txt"
- "phone_raw/gyro/*.txt"
---
# Smartphone and Smartwatch Activity and Biometrics 15m6
A 15.6-million-sample, multi-device time-series corpus capturing 3-axis accelerometer and gyroscope readings from 51 volunteers. Each subject performed 18 activities for three minutes apiece while wearing both a smartphone and a smartwatch, yielding synchronized sensor streams sampled at 20 Hz.
Every record is formatted as:
- **subject-id** – unique identifier (1600–1650)
- **activity-code** – single-letter code A–S (excluding N) denoting one of 18 activities (e.g., walking, brushing teeth)
- **timestamp** – Unix epoch (seconds)
- **x, y, z** – raw sensor values for the given axis
The dataset is organized into four directories (phone-acc, phone-gyro, watch-acc, watch-gyro), each containing 51 per-subject files. Raw data plus 10-second sliding-window feature vectors are provided, enabling both activity-recognition and behavioral-biometric modeling.
**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) |