{"id":87,"date":"2021-06-15T15:02:53","date_gmt":"2021-06-15T19:02:53","guid":{"rendered":"https:\/\/carleton.ca\/sam3\/?page_id=87"},"modified":"2026-02-19T11:06:38","modified_gmt":"2026-02-19T16:06:38","slug":"nrc-canada","status":"publish","type":"page","link":"https:\/\/carleton.ca\/sam3\/nrc-canada\/","title":{"rendered":"NRC Canada"},"content":{"rendered":"\n
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\n NRC Canada\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n\n\n
\"NRC<\/figure>\n\n\n\n

NRC Canada<\/a><\/h2>\n\n\n\n

Project 1: AI-enabled cough detection and multimodal contactless vital signs monitoring<\/h2>\n\n\n\n

2020 \u2013 2021<\/h3>\n\n\n\n

Project goals:<\/strong><\/p>\n\n\n\n

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  1. AI-enabled cough diagnostics: Cough is a symptom and mechanism for COVID-19 and viral spread. This project aims to distinguish cough types (dry, wet, wheeze and whooping) with data-driven approaches on previously collected cough data. Collaborating with the NRC team to integrate the models within a system for clinical validations. The COVID-19 cough will be explored to understand if there are unique features. The team will collaborate with other research organizations to obtain relevant data.<\/li>\n\n\n\n
  2. Multimodal contactless vital signs monitoring: Thermal and RGB imaging has the potential to be used for non-contact assessment of vital signs (heart rate and respiration rate) through measurement of small changes in temperature or skin colour. The team has prior experience using thermal and RGB cameras within residential settings and will apply this to public space applications. The team will compare the performance of the cameras individually and in combination using existing datasets.<\/li>\n<\/ol>\n\n\n\n

    PI:<\/strong> Rafik Goubran<\/a><\/p>\n\n\n\n \n\n\n \n\n\n\n

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