https://github.com/axelpale/gazelledb

Open database for scientific gaze data
https://github.com/axelpale/gazelledb

Last synced: about 1 month ago
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Open database for scientific gaze data

• Host: GitHub
• URL: https://github.com/axelpale/gazelledb
• Owner: axelpale
• License: mit
• Created: 2015-09-30T11:39:38.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-29T13:33:59.000Z (about 9 years ago)
• Last Synced: 2024-10-15T17:54:34.278Z (3 months ago)
• Language: Python
• Size: 199 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Gazelle Database

Open database for scientific gaze data.

Akseli Palén

Infant Cognition Laboratory

University of Tampere

## Install

    $ virtualenv gazelledb

    $ cd gazelledb

    $ source bin/activate

    (env)$ pip install flask

    (env)$ pip install pymongo

    (env)$ pip install numpy

    (env)$ pip install coloredlogs

## Run

First, start MongoDB database server:

    $ cd project/root/path

    $ mongod --config data/mongodb.conf

Then, activate the virtual Python environment and start the web server:

    $ source bin/activate

    (env)$ python gazelledb/server.py

If you want to shut down the web server, close it and exit the environment:

    [press ctrl-c]

    (env)$ deactivate

Optionally you can also open Mongo console:

    $ mongo

## Examples

Trial gaze points

{

    'name': name_root + '/',

    'timestamp': 123456789,

    'format': 'gazelle/v1/trial',

    'meta': {

        'date': gazedata.get_trial_date(trial),

        'participant_id': meta['participant_id'],

        'method_version': meta['method_version'],

        'participant_age_months': meta['participant_age_months'],

        'calibration_successful': meta['calibration_successful'],

        'trial_configuration_id': meta['trial_configuration_id'],

        'trial_number': trial_num,

        'aoi_x_rel': aoi_xy[0],

        'aoi_y_rel': aoi_xy[1],

        'source_file': file,

        'tags': {

            'target': {

                'range': [100, -1]

                'meta': {

                    ...

                }

            },

            'first_and_second': {

                'include': [0, 1]

            },

            'last': {

                'include': [-1]

            },

            'saccade': {

                'range': [678, 789]

            }

        }

    },

    'function': [],

    'input': [],

    'input_timestamp': [],

    'output': norm_g

}

Trial analysis

{

    'name': icl/trial/analysis,

    'timestamp': 1233456789,

    'format': 'gazelle/v1/saccade', // Description

    'meta': {},

    'function': ['analysis.py'],

    'input': string or list or pattern

        ['icl/name@123456789', '...@...', 'name@time']

    'input_timestamp': { // Check if newer

        'icl/name@123456789': 123456789,

        'icl/name2': 123456788

    }// or list, keys are in the input

    'output': a list in format gazelle/v1/saccade

}

Trial analysis merging

{

    'name': 'icl/sequence',

    'timestamp': 1233456789,

    'format': 'gazelle/v1/saccades',

    'meta': {},

    'function': 'merge-analysis.py',

    'input': ['icl/trial', 'icl/trial2'],

    'output': list in format gazelle/v1/saccades

}

Prediction analysis

{

    'name': ...,

    'timestamp': 11111111111,

    'format': 'gazelle/v1/prediction',

    'meta': {},

    'function': 'prediction-analysis.py',

    'input': ['icl/sequence'],

    'input_timestamp': [1234567678],

    'output': {

        'probabilities': ... how they affect reaction time, LATER model

    }

}