Activity Recognition with Ubiquitous Sensing
Project description
Overview
arus python package provides a computation framework to manage and process ubiquitous sensory data for activity recognition.
Get started
Prerequists
python >= 3.6
Installation
> pip install arus
or with pipenv
> pipenv install arus
or with poetry
> poetry add arus
Plugins
arus
packages can be extended to involve more file types, Bluetooth devices or network protocols. The following list includes official plugins that extend arus
.
Official plugins
arus-stream-metawear
: aStream
class that can be used to stream data acquired from a Metawear device (A wireless Bluetooth sensor) in real-time.
Development
Prerequists
python >= 3.6
poetry >= 0.12.17
Set up development environment
> git clone https://github.com/qutang/arus.git
> cd arus
> poetry install
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
arus-0.2.3.tar.gz
(35.7 kB
view details)
Built Distribution
arus-0.2.3-py3-none-any.whl
(43.7 kB
view details)
File details
Details for the file arus-0.2.3.tar.gz
.
File metadata
- Download URL: arus-0.2.3.tar.gz
- Upload date:
- Size: 35.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
d7c6ca452c707262a925b1bf89279f28d12dcd8be8ac36eacaf7e4cdf1d2652b
|
|
MD5 |
9192f784ecb2b62517cd9cd4160ebd7f
|
|
BLAKE2b-256 |
99c06b24f9c63ddcca9b0f56b952fbf290bf9b5f0e984a8d3807b36dd36b2da0
|
File details
Details for the file arus-0.2.3-py3-none-any.whl
.
File metadata
- Download URL: arus-0.2.3-py3-none-any.whl
- Upload date:
- Size: 43.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
dfe0221dae4b5a22c932061835da413deafd7497e01547aa55b56cbcf8386878
|
|
MD5 |
5e3917b8c672a90f09da89f3a37a81e4
|
|
BLAKE2b-256 |
e6bb4ddad79850aa0f8168834831d774ee8ebaf99e37485137fd08587e823228
|