A Novel Approach Using Designed Algorithms for Long-term Injuries Caused by Fall
Abstract –According to the CDC, 3 million people are treated yearly for fall related injuries. Fall has become a major public health problem and the second leading cause of unintentional deaths. Epilepsy, Parkinson’s disease, visual impairment, and neuropathy are just a few of the illnesses that can increase the risk of falling. The purpose of this experiment was to use a fall detection algorithm to create a protective mechanism. An algorithm was developed with the use of Arduino and tri-axial accelerometers and gyro sensors. After calibrating the sensors accurately and coding in the Arduino IDE, the accelerometers were placed on a CPR manikin to model the fall of a person. After recording the slant height of the manikin during its fall, the data illustrated that the tilt of 67.01 degrees and the coordinates of (7.78, -4.08, and 8.79) is when the gear must be triggered. Through the aggregation of data, the ideal location to place the sensors was identified. Using this data, an appropriate airbag mechanism was designed. This is particularly helpful in cases where the elderly have a fall. The expansion of this project to a global scale can save millions of lives and prevent injuries from other accidental falls.
Keywords: Epilepsy, Algorithm, Seizures, Fall, Tonic-Clonic
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