Unique Capabilities for Aging in Place
Companies such as Nortek Security and Control, which sells Numera® mobile personal emergency response devices, are leveraging this advanced technology. For example, the revolutionary design of the Numera Libris 2 recognizes more than 3,000 different fall algorithms that enable the device to more accurately detect the type and severity of a fall. Numera MPERS’ fall detection algorithms are based on models built from 10,000 real human falls, not computer simulations.
In addition, the Libris 2 MPERS provides more accurate readings because it uses multiple sensors and analyzes the data in the cloud. The Libris 2 was the first mobile PERS on the market to integrate three separate sensors: an accelerometer, a magnetometer and a gyroscope. These sensors capture data that yield 190 different parameters, such as orientation change, impact intensity, and impact speed. Together these sensors compile the immense amount of data necessary to provide better fall category accuracy.
Fall detection is further improved using cloud-based analysis facilitated by high-performance computing, which is capable of applying artificial intelligence and machine learning techniques to not only provide the most accurate detection today, but the ability to learn and improve in the future. All this adds up to the ability of Libris 2 to better classify falls, and to better differentiate between a real fall and a false fall. Customers can have the confidence and assurance of knowing that they have the best fall detection MPERS capabilities.
The Libris 2 MPERS also features pinpoint location capabilities. Many municipalities still rely on older 911 systems that do not have the ability to track phone calls to a location or are attached to the internet to look up an address. If someone becomes incapacitated or is away from the MPERS, emergency responders will still be able to locate the wearer.