{"id":616,"date":"2015-10-31T17:16:22","date_gmt":"2015-10-31T17:16:22","guid":{"rendered":"https:\/\/sites.cs.dal.ca\/meridian-rebuild\/?p=616"},"modified":"2019-12-10T15:16:50","modified_gmt":"2019-12-10T15:16:50","slug":"directional-acoustic-data-visualization","status":"publish","type":"post","link":"https:\/\/meridian.cs.dal.ca\/fr\/2015\/10\/31\/directional-acoustic-data-visualization\/","title":{"rendered":"Visualisation de donn\u00e9es acoustiques directionnelles"},"content":{"rendered":"\n
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\nMERIDIAN is working with JASCO to design a tool for visualizing \nunderwater acoustic data with a directional component that indicates \nbearing for use by biologists and other researchers. This system will \nvisualize data collected from hydrophone arrays that are capable of \ndiscerning the bearing of sound sources, which can help users \ndistinguish between animals and track movement of vessels and wildlife. \nWhere acoustic data is normally presented to biologists in the form of \n2D Time versus Frequency spectrograms which use colour to indicate \nintensity, this system must also present the directional information in a\n way that is intuitive for the user. Experimentation with directional \ncolours and filtering techniques has shown promise, but we are \ninvestigating solutions that take advantage of interaction, \n3-dimensional views, and accompanying Time versus Direction plotting and\n animations. This system will allow biologists to analyze, classify, and\n annotate data, and to prepare reports for presentation.\n<\/p>\n\n\n\n

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The application structure: a web-based front-end using open source D3.js and ThreeJS libraries with a Flask\/Python back-end. <\/figcaption><\/figure><\/div>\n\n\n\n

The application visualizes acoustic data for the web in a traditional spectrogram viewer built with D3. Using ThreeJS, a secondary view provides a 3D Time vs Bearing plot. In this plot, magnitudes associated with each bearing at each timestep are summed, indicating the directionality of sound sources. This plot allows the user to filter according to specific bearing angles and update the corresponding spectrogram with only sound associated with those bearings. All calculations are done in the back-end with Flask and Python. Users can adjust time and frequency spans, filter according to bearing angle, and download snapshots of both views. Users can also drag back and forth along the spectrogram\u2019s time axis to move the camera\u2019s position in the 3D viewer. <\/p>\n\n\n\n