Third Eye - A Compact Wearable Device and Dedicated Android App for Disabled Senior Citizens and Patients

Falls constitute a prevalent cause of hospitalization and injury among the elderly population, often resulting in severe debilitation and ranking as the primary contributor to unintentional injuries in this demographic. Given the impracticality of constant manual monitoring, a pressing need arises t...

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Vydáno v:2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT) Ročník 1; s. 1 - 6
Hlavní autoři: Dhakshak, P., Veigas, Alastair Bill, Anudeep, K., Pradyumna, G. R., Hegde, Roopa B.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 29.08.2024
Témata:
automated fall detection
elderly care
Fall detection
fall detection algorithm
Injuries
machine learning in healthcare
Monitoring
Older adults
Performance evaluation
Pressing
Prevention and mitigation
Time factors
Wearable devices
Wrist
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Shrnutí:Falls constitute a prevalent cause of hospitalization and injury among the elderly population, often resulting in severe debilitation and ranking as the primary contributor to unintentional injuries in this demographic. Given the impracticality of constant manual monitoring, a pressing need arises to enhance response times following a fall incident. To address this imperative, we present a wearable device to gather data from an integrated accelerometer within the user's body, enabling highly precise automated fall detection. The envisaged device can be comfortably worn on either the wrist or arm, affording users a discreet and less stigmatizing option while necessitating the implementation of an efficient fall detection algorithm to ensure optimal performance. To promptly signal the occurrence of falls, a dedicated alarm system is seamlessly integrated into the patient's environment. At the same time, a user-friendly application stands ready to deliver swift assistance, thus mitigating the potential for severe consequences. By deploying this wearable technology, we aim to preemptively avert adverse scenarios and expedite assistance in the event of a fall. In summary, the proposed wearable device emerges as a promising fall detection and prevention solution, underscoring the significance of continuous monitoring and rapid response times in mitigating fall-related injuries among elderly individuals.
DOI:10.1109/ICEECT61758.2024.10738942