Turn a K-Way jacket into a smart hiking tracker with the Nicla Sense ME

Hiking outdoors is a great way to relieve stress, exercise, and connect with nature, but keeping up with these adventures can be a challenge. Our recent collaboration with K-Way has led Zalmotek to develop a small device that can be paired with a jacket to monitor a wearer's trek progress and even current weather conditions.

Basically, the tracker can be broken down into three main functions: forecast weather changes, keep tabs on step/climb activity, and collect and send raw data via Bluetooth® Low Energy to the Arduino cloud IoT for additional processing and processing. train machine learning models. Performing these tasks is a Nicla Sense ME board, which contains an advanced six-axis BHI260AP IMU, three-axis magnetometer, pressure sensor, and BME688 four-in-one gas sensor with temperature and temperature capabilities. moisture.

Zalmotek first collected data samples using Edge Impulse Studio from the barometer ranging from rising to falling atmospheric pressure as they predict clear or stormy. Once complete, a classification model was trained and deployed to the Nicla Sense, where LEDs could indicate which weather pattern is most likely. The activity tracking model, however, was trained using data collected from the IMU and labeled with walking, climbing, or staying. After integrating them into a single sketch, Zalmotek created an Arduino IoT Cloud dashboard to display these values ​​in real time.

For a deeper dive into the device, read Edge Impulse's blog post. You can also read more about the Arduino x K-Way project here.

Categories:NiclaNicla Sense ME