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@article{187080,
        author = {Arya Amol Patil and Aryan Jagtap and Priyanka Kadam},
        title = {A Low-Cost, Real-Time Elderly Fall Detection and Alert System Using an ESP32 Wristband and Companion Android Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {3348-3352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187080},
        abstract = {Falls among the elderly are a major health concern, often leading to serious injury when assistance is delayed. Commercial alert systems can be expensive and lack customization. This paper presents the design, implementation, and refinement of a low-cost, open-source fall detection system consisting of an ESP32-based wristband and a companion Android application. The wristband uses an MPU6050 accelerometer to detect fall events based on a dual-threshold algorithm (free-fall and impact). Upon detecting a fall, it sends an alert via Bluetooth to a paired smartphone. The Android application, built in Kotlin, receives this alert, provides a window for the user to cancel a false alarm, and if uncancelled, automatically sends an SMS notification to
pre-registered emergency contacts. The SMS includes the user's last known GPS coordinates and a Google Maps link to expedite assistance. The iterative development process, including debugging of contact management, SMS delivery, and build environment issues, is also discussed. The resulting prototype demonstrates a functional and affordable solution for enhancing the safety of elderly individuals living independently.},
        keywords = {},
        month = {November},
        }