Nick Shchetko at blogs.wsj.com/digits surveys recent app developments related to “always on” microphones.
There’s Rainforest, a chainsaw-detection tool halfway through its Kickstarter campaign.
He also lists examples that “assess the quality of sleep, explain why a baby is crying, tell you when you’re stressed, identify mental disorder, track gunshots and even help to crowd-monitor endangered cicada species.”
And then there’s BodyBeat, prototype pictured above:
A crude prototype of BodyBeat, revealed in mid-June, uses an external custom-made microphone to track body sounds, such as breath or cough, with the ambitious aim to detect illnesses or record food consumption.
The microphone is placed on the neck with a 3D-printed neckpiece, which is plugged into a small audio processing device that is wirelessly connected to a smartphone. BodyBeat authors plan to redesign the system for better usability in commercial applications.
It may sound far-fetched. But there could be plenty of market opportunities for systems like BodyBeat. Breathing sounds are indicative of lung conditions, and data on what users consume ”“ say, how often do they drink or eat certain products ”“ can provide important data for diet tracking apps.
There are certainly limitations to sound-detection technology. The quality of embedded microphones remains a concern, for one. “The problem is you can’t create a robust app because everyone is using different microphones,”said Alexander Adams, who helped develop BodyBeat.
Found thanks to Alexis Madrigal’s http://ift.tt/1lPwWYp.
This entry cross-posted from the Disquiet linkblog project sound.tumblr.com.