Fall Detection for The Elderly People

  • Authors

    • Ajay Khunteta Professor, Poornima University, Jaipur, India
    • Abhishek Sharma Research Scholar, Poornima University, Jaipur, India
    https://doi.org/10.14419/sdd6fn84

    Received date: July 31, 2025

    Accepted date: September 10, 2025

    Published date: September 19, 2025

  • Fall Detections; SVM; Fall Predictions; Elderly People, Etc

  • Abstract

    Typically, research and industry presented various practical solutions for assisting the elderly and their ‎caregivers against falls via detecting falls and triggering notification alarms calling for help as soon as falls ‎occur to diminish fall consequences. Furthermore, fall likelihood prediction systems have  ‎emerged lately based on the manipulation of the medical and behavioral history of elderly patients in order to ‎predict the possibility of falls occurrence. This paper presents an extensive review of the state-of-the-art ‎trends and technologies of fall detection and prevention systems assisting elderly people and their ‎caregivers. Furthermore, this paper discusses the main challenges facing elderly fall prevention, along with ‎a comparison of various machine learning algorithms on the cStick dataset.

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  • How to Cite

    Khunteta , A. ., & Sharma , A. . (2025). Fall Detection for The Elderly People. International Journal of Basic and Applied Sciences, 14(5), 714-721. https://doi.org/10.14419/sdd6fn84