Add gesture recognition and environmental sensing to your climbing jacket with the Nicla Sense ME

As a part of our ongoing collaboration with Okay-Method, Justin Lutz got down to combine clever electronics into one of many firm’s iconic out of doors jackets. As a result of lively way of life of the model, Lutz selected to make use of the Arduino Nicla Sense ME board to detect gestures whereas climbing in addition to monitor the barometric strain for potential storms.

The mission started by first gathering many samples of both idle movement, strolling, or drawing a “C” within the air to set a checkpoint with the Nicla’s onboard accelerometer. As soon as this information was added to the Edge Impulse Studio, he educated a mannequin to acknowledge every of the motions and return the corresponding label. Past this performance, the Nicla Sense ME additionally outputs the detected movement and present strain studying over Bluetooth to a related telephone.

Interacting with the wearable machine is finished fully via an Android app that Lutz created with the assistance of MIT’s App Inventor on-line software. Whereas working within the background, the app checks for brand spanking new Bluetooth information and marks the present coordinates on a map as a checkpoint at any time when the person attracts a “C” with their finger. Drops in strain are additionally displayed by the app as a big warning that unhealthy climate is on its method.

Extra particulars on the mission may be present in Lutz’s Edge Impulse write-up. It’s also possible to be taught extra concerning the Arduino x Okay-Method collaboration right here.