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@article{206586,
        author = {Ananya K Achar and Gnanavathi H and Likitha and Nidhi and Kavitha},
        title = {Smart Wearable for Alzheimer’s Safety},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {38-41},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206586},
        abstract = {The paper proposes a safety system to be worn by people suffering from Alzheimer’s disease and other cognitive disorders. These people are susceptible to hazards like falling, disorientation, and delayed emergency response, which all need to be monitored constantly. The proposed system monitors body movement using motion sensors to identify unusual situations such as unexpected falls, wandering towards unsafe areas or prolonged inactivity. The proposed approach focuses on reliability through local data processing and utilization of multiple communication means (GSM, Bluetooth, and Wi-Fi) for the timely delivery of alerts, unlike traditional systems, which are highly dependent on network connectivity. The system also has a manual panic option for immediate assistance. This work aims to improve patient safety at home and reduce caregiver burden.},
        keywords = {Alzheimer’s disease, smart wearable device, alert, real-time monitoring, fall prevention},
        month = {July},
        }