Fujitsu and Wakayama Medical College in Japan will conduct joint trials of recent fall detection applied sciences to watch sufferers in extremely non-public areas, together with hospital rooms and nursing properties.
WHAT IT’S ABOUT
Over the following 16 months, they are going to check Fujitsu’s millimetre-wave sensor, which collects level cloud knowledge to precisely estimate physique postures, and the Actlyzer AI expertise that analyses advanced human behaviours. These applied sciences don’t use cameras and accumulate private data from sufferers.
Demonstration trials of those applied sciences will probably be held at hospitals and nursing properties with aged sufferers and those that require nursing care.
Throughout the trials, Fujitsu will analyse whether or not its AI applied sciences are capable of detect physique actions akin to falls whereas preserving sufferers‘ privateness. Its evaluation will then be evaluated by researchers from Wakayama Medical College from their medical viewpoint. This analysis will later be utilized by Fujitsu to refine its merchandise.
WHY IT MATTERS
Final 12 months, 18 hospitals in Japan recorded almost 300 falls every month, in line with the Japan Hospital Affiliation. Regardless of this, hospitals nonetheless discover it tough to deploy camera-based monitoring applied sciences, particularly in privacy-sensitive contexts.
To deal with this problem, Fujitsu, along with Wakayama Medical College, initiated the trials at precise aged amenities to not solely scale back the danger of falls and severe accidents however to additionally help affected person monitoring and allow sooner response to emergency conditions whereas guaranteeing sufferers‘ privateness.
The organisations additionally plan to supply a MM wave sensor service for hospitals and nursing properties by subsequent 12 months, which can enable senior sufferers to take pleasure in better independence and privateness.
A brand new wearable machine can also be stopping falls and helping within the physiotherapy of aged sufferers in Singapore. Developed by researchers from Nanyang Technological College Singapore and Tan Tock Seng Hospital, the machine referred to as Cell Robotic Stability Assistant has sensors to detect a lack of steadiness and catches its wearer with a security harness worn across the hips. It additionally helps customers to both get up or sit down safely.