Revision as of 07:23, 5 August 2023 by 23.247.7.82 (talk) (Created page with "Adding fall detection to your medical alert system helps make it more likely that you can get help if you need it.<br /><br /> [https://www.loneworkeralarms.co.nz/ Lone Worker...")(diff) β Older revision | Latest revision (diff) | Newer revision β (diff) Warning: You are editing an out-of-date revision of this page. If you save it, any changes made since this revision will be lost. Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits. Anti-spam check. Do not fill this in!Adding fall detection to your medical alert system helps make it more likely that you can get help if you need it.<br /><br /> [https://www.loneworkeralarms.co.nz/ Lone Worker Alarm Devices] It's a lifeline emergency alert that sends a signal to a monitoring center and then to your loved ones, who can try to reach you or call 911. Some devices also send GPS data, so they can tell emergency responders where to find you if you're in a location that's not covered by the primary device.<br /><br />Currently, there are many types of systems that aim to detect falls (see Tables 4β6), including sensors worn on the skin, depth cameras, ambient sensors and ambient-aware sensor networks. While a few studies have shown promising results, these systems are still suffering from high false alarms and cannot provide 100% accuracy.<br /><br />Some wearable fall detection devices use motion-sensing technology to detect falls, such as the Mini Guardian from Medical Guardian, which is barely the length of a chapstick tube and rests around your neck with its detachable lanyard. When you fall, this 1.4-ounce device sends a signal to your medical alert system and a representative from the company's monitoring center attempts to contact you.<br /><br />Fall detection has drawn increasing interest in recent years, with some research focusing on context-aware and machine learning approaches. However, most of the work done in this field has used simulated data and it is important to carry out experiments in real-life conditions (eg, older adults, in care facilities or furnished rooms) as well as with fall alarm systems. Summary: Please note that all contributions to Disgaea Wiki may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here. You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see Disgaea Wiki:Copyrights for details). Do not submit copyrighted work without permission! Cancel Editing help (opens in new window)