Fall Detection for Old Age Using Deep Learning Mechanism
Year: 2025
Type: article
Abstract: The rise of nuclear families has resulted in less care for the health of the elderly living in privateresidences. Because of this, they are forced to either abandon their lives of solitude or be admitted to anelderly care facility. This means they have to take care of themselves in every way, including taking theirmedication and doing their regular tasks. A fall at home or in a care facility could result from this. Serioushealth problems or even death could result from a fall for which assistance is unavailable. The good causeof assisting the elderly is always bolstered by the application of image processing to detect these falls.Using the idea of a convolutional neural network in image processing, the suggested system offers areasonable and cost-effective solution to this problem. Frame by frame, the suggested model keeps an eyeon the solitary person to make sure they don't fall. The YOLO V8 is being used to assess the region ofinterest and pixel displacement in data segmentation in order to measure the fall. In addition, the modelsends a text message to the doctor, closest relative, and neighbor in an effort to rescue a life.
Author: Lagad P, Dighe Shreya, Dighe Sakshi, Badode Anjali, Shinde Sakshi
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930926177
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