Activity Recognition Python Packages

accelerometry-annotator

Web-based tool for visualizing and annotating accelerometry data. Supports collaborative labeling of activity segments in large time-series recordings. Built with Panel and Bokeh. Docs: https://tavoloperuno.github.io/py_visualize_accelerometry/ | Demo: https://tavoloperuno-accelerometry-viewer-demo.hf.space/

annotation-tool

Tool for annotating time series data from sources such as IMUs, MoCap, Videos and more.

openpack-torch

PyTorch extention to work around with OpenPack dataset

armetrics

Continuous activity recognition metrics based on (Ward et al, 2011)

aqudem

Activity and Sequence Detection Performance Measures: A package to evaluate activity detection results, including the sequence of events given multiple activity types.

openpack-toolkit

Toolkit for OpenPack Dataset

cepact

Generate complex event processing (Siddhi) activity detection apps based on IoT data and expert annotations.

ward-metrics

Implementation of the event-based evaluation metrics for activity recognition tasks proposed by Ward et. all

openthechests

Open-the-chests is a training environment for event-patterns recognition.