An Intelligent System for Amputees Using IoT and Machine Learning

This paper introduces the system for amputees and makes use of their daily activities without others intervention. The accidents caused for them will lead to their leg being lost. So that it is difficult for them to manage. Sometime while walking, the artificial leg loses out, and they may be in danger of falling down. For making them beneficial, this system is proposed. It then provides actionable feedback to enhance postural alignment, lessen discomfort, and avoid chronic musculoskeletal problems. The Arduino device is interfaced with MPU6050, which will give the data. The data is analyzed by an algorithm; if there are any abnormalities, it will detect them, and it will process the data and alert the person. These will also be useful to another person to keep an eye on their health. The system uses an Inertial Measurement Unit (IMU) with a 3-axis gyroscope and accelerometer to continuously monitor posture data. This data is sent to a cloud server and analyzed using machine learning algorithms. A mobile app alerts users if an incorrect posture is detected, helping them avoid discomfort. The architecture consists of wearable sensor devices and algorithms, and they are used for better accuracy, with machine learning being used to classify postures and ensure timely feedback. obtained accuracy using the algorithm is 98.26, which is more suitable for this project.