Metadata-Version: 2.1
Name: stepcount
Version: 0.0.0
Summary: Step counter for wrist-worn accelerometer data
Home-page: https://github.com/OxWearables/stepcount
Author: Shing Chan, Scott Small, Aiden Doherty
Author-email: shing.chan@ndph.ox.ac.uk, scott.small@ndph.ox.ac.uk, aiden.doherty@ndph.ox.ac.uk
License: 2-Clause BSD
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# stepcount
Development and implementation of a step counting algorithm designed for the UK Biobank Accelerometer Dataset. This model configuration is tuned for wrist-worn AX3 data collected at 100 Hz.

<!-- To run:

1. Follow usage instructions for processing accelerometer data via the Biobank Accelerometer Analysis Tool:
https://biobankaccanalysis.readthedocs.io/en/latest/usage.html#processing-multiple-files

using the following processing options:
cmdOptions="--activityModel = "/path_to_model/small_steps-aug2021.tar" --epochPeriod 5"

2. Process cwa file in conjunction with time series output from Biobank Accelerometer Analysis Tool

python stepcount.py ".cwa_file_to_process" "timeSeries_csv_from_BBAT_classification" --sampleRate -->

## Installation

<!-- ```console
$ pip install git+https://github.com/OxWearables/stepcount.git@master#egg=stepcount
``` -->

<!-- ```console
$ pip install git+ssh://git@github.com/OxWearables/stepcount.git@master#egg=stepcount
``` -->

```console
$ pip install stepcount
```

## Usage

```console
$ stepcount sample.cwa
```


