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This Arduino project is a complete solution for activity monitoring that utilizes an Arduino nano RP2040 connect, a 12c LCD screen, WiFi connectivity, and the Arduino IoT Cloud. The project is designed to monitor different activities such as walking, jogging, stationary, biking, and driving, and displays the activity mode in real-time on the 12c LCD screen. However, there may be a small delay in the display, and sometimes the project may mistake stationary activities as driving.

The project also includes a power supply component that converts 9-volt battery power to the required 5 volts for the Arduino nano and the LCD screen. This makes the project portable and convenient to use, providing the user with an accurate and easily accessible representation of their activity.

The WiFi connectivity of the project enables the data collected by the sensors to be transmitted wirelessly to a network. In order for the user to access their data from a remote location, they would have to connect the project to their smartphone's hotspot. The use of the Arduino IoT Cloud provides a secure and convenient way for the user to store and analyze their activity data in the cloud. The IoT Cloud also enables the user to create custom dashboards and visualizations, making it possible to track their activity over time and monitor their progress towards their goals.

In summary, this Arduino project combines an Arduino nano RP2040 connect, a 12c LCD screen, WiFi connectivity, and the IoT Cloud to provide a comprehensive solution for activity monitoring. The project's compact size, use of a 9-volt battery, and real-time display make it a convenient and accessible solution for individuals who want to lead a more active lifestyle. The use of the IoT Cloud enables the user to make data-driven decisions about their activity and track their progress towards their goals, even from a remote location when connected to a smartphone's hotspot.

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EXPANDED TECHNICAL DETAILS

Kinetic Life-Tracking Telemetry

This compact wearable device, built on the Arduino Nano Every or Nano 33 IoT, monitors physical activity and streams data to the cloud.

• 3-Axis Acceleration Matrix: Uses an integrated MPU-6050 accelerometer. The Arduino captures raw G-force data and applies a "Step-Detection Algorithm" that identifies the rhythmic pattern of walking while ignoring random vibrations.
• Arduino IoT Cloud Dashboard: The Nano 33 IoT connects to WiFi and uploads "Steps," "Calories Burned," and "Active Duration" to a mobile-friendly dashboard, allowing users to track their progress in real-time.

Efficiency

• Motion-Triggered Wakeup: The device enters low-power sleep mode when stationary for more than 5 minutes, instantly reviving when the accelerometer detects a movement of >1.5G.