Literature review

Design challenge (parallel case, NOT today's prompt): a wearable alert that detects when an elderly person living alone has fallen and calls for help.\n\nClaim: The literature shows that unwitnessed falls among seniors who live alone are a large, well-documented problem, and that automatic detection helps, but the sources disagree about whether the alert should trigger on its own or wait for the person to press a button. That disagreement points to a clear design gap my prototype could settle.\n\nEvidence:\nSource 1: CDC report on older adult falls (cdc.gov). Main claim: falls are the leading cause of injury for adults 65 and older, and many who fall cannot get up on their own. Evidence: national injury and emergency-visit data.\nSource 2: Peer-reviewed study of manual push-button medical alert pendants (journal article). Main claim: pendants get help faster when they are used, but a large share of wearers do not or cannot press the button after a serious fall. Evidence: response-time logs and follow-up interviews with users.\nSource 3: Peer-reviewed trial of an accelerometer-based automatic fall detector (journal article). Main claim: automatic detection reaches people who cannot press a button, but it also produces false alarms when the person only sits down quickly or drops the device. Evidence: measured true-positive and false-alarm rates against recorded activity.\n\nReasoning: Source 1 establishes that the problem is real and serious, since falls injure many seniors and often leave them unable to get up. Sources 2 and 3 agree that a faster alert saves time, but they conflict on the trigger: a push button (Source 2) fails exactly when the wearer is hurt and cannot press it, while automatic detection (Source 3) reaches those people but raises false alarms that annoy users and may get ignored. The gap is that neither source tests a device that pairs automatic detection with a short cancel window, so a conscious user could stop a false alarm while an unconscious user still gets help. My prototype targets that gap directly: it detects the fall on its own, then waits a few seconds for the wearer to cancel before it calls for help. That design uses the strength of Source 3 (reaches people who cannot press a button) while answering the weakness both sources raise (missed alerts and false alarms), which is the unanswered question my prototype could actually settle.