Add gesture recognition and environmental sensing to your hiking jacket with the Nicla Sense ME
Add gesture recognition and environmental sensing to your hiking jacket with the Nicla Sense ME
Arduino Team — February 4, 2023
As part of our ongoing collaboration with K-Way, Justin Lutz set out to integrate smart electronics into one of the company's signature outdoor jackets. Due to the brand's active lifestyle, Lutz opted to use the Arduino Nicla Sense ME board to detect gestures while hiking as well as monitor barometric pressure during potential thunderstorms.
The project began by gathering many samples of idle motion, walking, or drawing a "C" in the air to set a checkpoint with the Nicla's on-board accelerometer. Once this data was added to Studio Edge Impulse, it trained a model to recognize each movement and return the corresponding label. Beyond this functionality, the Nicla Sense ME also transmits detected motion and current pressure reading via Bluetooth to a connected phone.
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Interaction with the wearable device is done entirely through an Android application created by Lutz using MIT's App Inventor online tool. When running in the background, the app searches for new Bluetooth data and marks the current coordinates on a map as a checkpoint each time the user draws a "C" with their finger. Pressure drops are also displayed by the app as a big warning that bad weather is on the way.
More details on the project can be found in Lutz's Edge Impulse editorial office. You can also learn more about the Arduino x K-Way collaboration here.
Categories:NiclaNicla Sense ME
Arduino Team — February 4, 2023
As part of our ongoing collaboration with K-Way, Justin Lutz set out to integrate smart electronics into one of the company's signature outdoor jackets. Due to the brand's active lifestyle, Lutz opted to use the Arduino Nicla Sense ME board to detect gestures while hiking as well as monitor barometric pressure during potential thunderstorms.
The project began by gathering many samples of idle motion, walking, or drawing a "C" in the air to set a checkpoint with the Nicla's on-board accelerometer. Once this data was added to Studio Edge Impulse, it trained a model to recognize each movement and return the corresponding label. Beyond this functionality, the Nicla Sense ME also transmits detected motion and current pressure reading via Bluetooth to a connected phone.
1024vw,px/1024
Interaction with the wearable device is done entirely through an Android application created by Lutz using MIT's App Inventor online tool. When running in the background, the app searches for new Bluetooth data and marks the current coordinates on a map as a checkpoint each time the user draws a "C" with their finger. Pressure drops are also displayed by the app as a big warning that bad weather is on the way.
More details on the project can be found in Lutz's Edge Impulse editorial office. You can also learn more about the Arduino x K-Way collaboration here.
Categories:NiclaNicla Sense ME
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