basictenfeaturesextractor

A simple PlatformIO library for extracting basic ten features per axis from a window or segment of 3 axis accelerometer or similar sensor data for ESP32 or similar boards

https://github.com/inmoresentum/basictenfeaturesextractor

Science Score: 44.0%

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CITATION.cff file
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Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary

Keywords

basic-features-extraction esp32-arduino esp32-library feature-extraction platformio-library

Last synced: 6 months ago · JSON representation ·

Repository

A simple PlatformIO library for extracting basic ten features per axis from a window or segment of 3 axis accelerometer or similar sensor data for ESP32 or similar boards

Basic Info

Host: GitHub
Owner: Inmoresentum
License: gpl-3.0
Language: C++
Default Branch: main
Homepage:
Size: 67.4 KB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 2

Topics

basic-features-extraction esp32-arduino esp32-library feature-extraction platformio-library

Created over 1 year ago · Last pushed over 1 year ago

Metadata Files

Readme License Code of conduct Citation

BasicTenFeaturesExtractor

A simple PlatformIO Arduino library to extract ten features per x, y, and z axis of the collected segment of accelerometer or similar sensor data.

The features this library extracts are:

sum,
median,
mean
length,
standard deviation,
variance,
root-mean-square,
maximum,
absolute maximum, and
minimum.

[!NOTE] For examples on how to use the library, please check out examples folders.

Citation

[!IMPORTANT] If you are using this library for your scholarly works then please cite accordingly.

bibtex @software{Athar_Noor_Mohammad_Rafee_BasicTenFeatureExtractor, author = {Athar Noor Mohammad Rafee}, license = {GPL-3.0}, title = {{BasicTenFeaturesExtractor}}, url = {https://github.com/Inmoresentum/BasicTenFeaturesExtractor} }

Owner

Name: Athar Noor Mohammad Rafee
Login: Inmoresentum
Kind: user
Location: Bangladesh

Repositories: 1
Profile: https://github.com/Inmoresentum

Currently Studying CSE(Computer Science and Engineering) in Brac University.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: BasicTenFeaturesExtractor
message: >-
  A simple PlatformIO library for extracting basic ten
  features per axis from a window or segment of 3 axis
  accelerometer or similar sensor data for ESP32 or similar
  boards.
type: software
authors:
  - email: noor.mohammad.rafee@g.bracu.ac.bd
    affiliation: BRAC University
    orcid: 'https://orcid.org/0009-0002-3608-6478'
    given-names: Athar Noor Mohammad Rafee
repository-code: 'https://github.com/Inmoresentum/BasicTenFeaturesExtractor'
abstract: >-
  A simple PlatformIO Arduino library to extract ten
  features per x, y, and z axis of the collected
  accelerometer or similar sensor data (one segment at a
  time). The features extracted by the library are: sum,
  median, mean, length, standard deviation, variance,
  root-mean-square, maximum, absolute maximum, and minimum.
keywords:
  - feature extractor
  - arduino feature extractor
  - esp32 basic feature extractor
  - time domain
  - sliding window
license: GPL-3.0

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