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clap-detector

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clap-detector - npm Package Compare versions

Comparing version 0.1.1 to 0.1.2

6

package.json
{
"name": "clap-detector",
"version": "0.1.1",
"version": "0.1.2",
"description": "Clap detection for node js (linux, raspberry systems)",

@@ -20,3 +20,5 @@ "main": "index.js",

"alsa",
"microphone"
"microphone",
"raspberry",
"raspbian"
],

@@ -23,0 +25,0 @@ "author": "tom-s",

@@ -1,2 +0,2 @@

Clap detection module for node js
Clap detection module for node js
===

@@ -6,4 +6,4 @@

At the top of the file there should be a short introduction and/ or overview that explains **what** the project is. This description should match descriptions added for package managers (Gemspec, package.json, etc.)
I created this module for my project of personal assistant on Raspberry Pi. The clap detection allows me to activate the assistant whenever I need it (and prevent it from continuously being listening for instructions or interpreting random noises as instructions)
ClapDetector is a hand clap detection module for nodejs (iojs). I detect a clap or a series of claps and allow you to trigger callbacks whenever these events happen.
I created this module for my project of personal assistant on Raspberry Pi (raspbian). The clap detection allows me to activate the assistant whenever I need it (and prevent it from continuously being listening for instructions or interpreting random noises as instructions)

@@ -58,2 +58,31 @@ ## Requirements

## Configuration
You can pass a configuration object at initialisation time (clapDetector.init(yourConfObject)). If you don't the following config will be used. You should at least provide the audio input (if different from the default config).
```bash
// DEFAULT CONFIG
var CONFIG = {
AUDIO_SOURCE: 'hw:1,0', // this is your microphone input. if you don't 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
CLEANING: {
PERFORM: false, // set to true if you want to clean the file from noise before analyzing it. It requires a sox noise profile
NOISE_PROFILE: 'noise.prof' // path to the sox noise profile
},
SOUND_FILE : "input.wav", // name of wav file created while recording
SOUND_FILE_CLEAN : "input-clean.wav", // name of cleaned (if you activated cleaning) file
CLAP_AMPLITUDE_THRESHOLD: 0.7, // minimum amplitude threshold to be considered as clap
CLAP_ENERGY_THRESHOLD: 0.3, // minimum energy threshold to be considered as clap
MAX_HISTORY_LENGTH: 10 // all claps are stored in history, this is its max length
};
```
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.
You can also activate cleaning (CLEANING.perform) of the noise for better results. In order to do that record a wav file (using your microphone) without talking and then generate the sox profile with the command:
```bash
sox -c 1 SILENCE.WAV -n trim 0 2 noiseprof noise.prof
```
## Tests

@@ -60,0 +89,0 @@

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