Google likely working on built-in snore, cough detection feature

SAN FRANCISCO: Tech giant Google is working on two built-in snores and cough detection features that will let it detect if users snore or cough in their sleep.

The tech giant is reportedly working on these features for Pixel and Android, 9To5Google reported.

The tech website spotted lines of code in the installation file of the Google Health Studies app. It revealed that the company is conducting a study called aSleep Audio Collection’ that is only available to Google employees.

“You must be a Full-Time Googler with an Android phone to participate in this study,” the report said.

“Environmental conditions required for this study are to have no more than one adult sleeper in the same room who does not work for a competitor company,” it added.

Google explained that its “Health Sensing team is actively working to bring an advanced suite of sensing capabilities and algorithms to Android devices to provide users with meaningful insight into their sleep”.

This audio collection “supports this mission by providing data necessary to validate, tune, and develop such algorithms”.

These “Cough and Snore algorithms” will translate into a “bedside monitoring” feature on Android devices that works in a “privacy-preserving, on-device” manner for acenocturnal cough and snore monitoring”.

FacebookTwitterLinkedin


For all the latest Technology News Click Here 

 For the latest news and updates, follow us on Google News

Read original article here

Denial of responsibility! TechNewsBoy.com is an automatic aggregator around the global media. All the content are available free on Internet. We have just arranged it in one platform for educational purpose only. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials on our website, please contact us by email – [email protected]. The content will be deleted within 24 hours.