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ABSTRACT: Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. The gait analysis using wearable sensors provided quantitative and repeatable results over extended time periods with low cost and good portability, showing better prospects and making great progress. Many sensors in wearable devices can help to record data of walking and running, the Inertial measurement units (IMU) are sensors combining accelerometer and gyroscopes to measure linear acceleration and angular velocity of the body to which it is attached. The IMU helps to extract the gait pattern of the patient with more accuracy. Impaired walking and locomotion are common resulting from injuries, degenerative pathologies, musculoskeletal disorders, and various neurological damages. Daily tracking and gait analysis are convenient and efficient approaches for monitoring human walking, where concreate and rich data can be obtained for examining our posture control mechanism during body movement and providing enhanced diagnosis and treatment plan.

Project: MPU6050 Sensor Integration with Arduino IDE

Step 1: Arduino IDE Installation Begin the project by installing the latest version of the Arduino IDE from the official website (https://www.arduino.cc/en/software). Follow the installation instructions provided for your specific operating system (Windows, macOS, or Linux).

Step 2: MPU6050 Library Installation Open the Arduino IDE after installation. Navigate to the Library Manager by going to Sketch > Include Library > Manage Libraries... Search for "MPU6050" in the Library Manager. Select the MPU6050 library from the list and click "Install." Step 3: Arduino Program Development Write the Arduino program to interface with the MPU6050 sensor. Save the program with an INO extension in the project files.

Step 4: Hardware Setup Connect the Arduino board to the laptop or desktop. Ensure that the IMU MPU6050 sensor is properly connected to the Arduino board.

Step 5: Program Execution Upload the previously written program to the Arduino board. Check whether the baud rate in the Arduino IDE's Serial Monitor matches the baud rate specified in the program. Step 6: Serial Plotter Configuration Open the Serial Plotter tool in the Arduino IDE to monitor the frequency pattern output from the MPU6050 sensor in real-time.

Conclusion By following these steps, you have successfully integrated the MPU6050 sensor with the Arduino IDE, developed and executed a program, and monitored the sensor output using the Serial Plotter tool. This comprehensive approach ensures a seamless setup and evaluation of the MPU6050 sensor's functionality.