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 MoCap, Videos and more.

openpack-toolkit

Utilities for OpenPack Dataset.

openpack-torch

PyTorch utilities to work around with OpenPack Dataset.

armetrics

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

aqudem

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

wifi-activity-recognition

A comprehensive Python package for human activity recognition using WiFi Channel State Information (CSI) and computer vision techniques. This package provides a unified interface for working with various WiFi hardware platforms and state-of-the-art machine learning models.

cepact

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

openthechests

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

ward-metrics

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