npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

clap-detector

v0.5.3

Published

Clap detection for node js (linux, raspberry systems)

Downloads

18

Readme

Clap detection module for node js

Synopsis

ClapDetector is a hand clap detection module for nodejs (iojs). It detects a clap or a series of claps and allows you to trigger callbacks whenever these events happen. I created this module for my personal assistant project on a Raspberry Pi (raspbian). The clap detection allows me to activate the assistant whenever I need it (and prevents it from continuously listening out for instructions or interpreting random noises as instructions)

Requirements

This module works on linux based OS (raspbian, Ubuntu, Debian...) using alsa for audio and a working microphone or Mac OS X using coreaudio.

Installation

This module requires sox, "the Swiss Army knife of sound processing programs" (http://sox.sourceforge.net/) to be installed

Linux

sudo apt-get install sox

Mac OS X

brew install sox

npm install

You can simply add this module to your node.js project with

npm install --save clap-detector

Usage

First, create an instance of the ClapDetector class:

const clap = new ClapDetector()

Then register a callback that will be triggered whenever a series of hand claps is detected. Your callback will be provided with an array of claps and their associated timestamps as arguments.

const disposableOneClapListener = clap.addClapsListener(claps => {
  console.log("heard 1 clap", claps)
}, { number: 1, delay: 0 })

You can dispose (remove) a clap listener by calling the disposable method returned by addClapsListeners

disposableOneClapListener() // dispose the clap listener

Finally you can call the dispose() method when you want to stop all clap detection and free associated resources

clap.dispose()

addClapsListener

  • Type : Function
  • Arguments: (callback [Function], options [Object])
list of options

| Option | Description |Default value | | ------------- | ------------- | ------------- | | number | Number of claps | 1 | | delay | Period within the specified number of claps must be heard (ms) | 1000 | | force | If true, trigger callback every time even if a listener with a higher number is triggered |false |

Real life example

import ClapDetector from 'clap-detector'

const clap = new ClapDetector()

clap.addClapsListener(claps => {
  console.log("change tv channel")
}, { number: 1, delay: 0 })

clap.addClapsListener(claps => {
  console.log("turn tv on", claps)
}, { number: 2, delay: 1000 })

clap.addClapsListener(claps => {
  console.log("turn tv off", claps)
}, { number: 3, delay: 1000 })

Full example

import ClapDetector from 'clap-detector'

const clap = new ClapDetector()
const disposableOneClapListener = clap.addClapsListener(claps => {
  console.log("heard 1 clap (force)", claps)
}, { number: 1, delay: 0, force: true })

const disposableOneClapForceListener = clap.addClapsListener(claps => {
  console.log("heard 1 clap", claps)
}, { number: 1, delay: 1000 })

const disposableTwoClapsListener = clap.addClapsListener(claps => {
  console.log("heard 2 claps", claps)
}, { number: 2, delay: 1000 })

const disposableThreeClapsListener = clap.addClapsListener(claps => {
  console.log("heard 3 claps", claps)
}, { number: 3, delay: 1000 })

// Cancel some clap listeners
// Cancel alls claps listener but 2 claps after 10 seconds
setTimeout(() => {
  console.log("only listen to 2 claps now")
  disposableOneClapListener()
  disposableOneClapForceListener()
  disposableThreeClapsListener()
}, 10000)

// Dispose (stop sox process and listeners) after 30s
setTimeout(() => {
  console.log("dispose all listeners and free ressources")
  clap.dispose()
}, 30000)

Configuration

You can pass a configuration object and override the default values when you create an instance of the ClapDetector class. If you don't the following config will be used.

// DEFAULT CONFIG
var CONFIG = {
  AUDIO_SOURCE: 'hw:1,0', // this is your microphone input. If you dont know it you can refer to this thread (http://www.voxforge.org/home/docs/faq/faq/linux-how-to-determine-your-audio-cards-or-usb-mics-maximum-sampling-rate)
  DETECTION_PERCENTAGE_START : '5%', // minimum noise percentage threshold necessary to start recording sound
  DETECTION_PERCENTAGE_END: '5%',  // minimum noise percentage threshold necessary to stop recording sound
  CLAP_AMPLITUDE_THRESHOLD: 0.7, // minimum amplitude threshold to be considered as clap
  CLAP_ENERGY_THRESHOLD: 0.3,  // maximum energy threshold to be considered as clap
  MAX_HISTORY_LENGTH: 10 // all claps are stored in history, this is its max length
}
const clap = new ClapDetector(CONFIG)

If you wish to improve the clap detection you can fiddle with the CLAP_AMPLITUDE_THRESHOLD and CLAP_ENERGY_THRESHOLD values. Depending on your microphone these might need to be modified.

Tests

These will be added soon. Please do not hesitate to submit some Ò!

About the Author

I am a full-stack Javascript developer based in Lyon, France.

Check out my website

License

clap-detector is dual licensed under the MIT license and GPL. For more information click here.