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Fujitsu to check new MM wave sensor, AI for fall detection in Japan’s nursing houses


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Fujitsu and Wakayama Medical College in Japan will conduct joint trials of recent fall detection applied sciences to watch sufferers in extremely personal areas, together with hospital rooms and nursing houses.


Over the subsequent 16 months, they may check Fujitsu’s millimetre-wave sensor, which collects level cloud knowledge to precisely estimate physique postures, and the Actlyzer AI know-how that analyses complicated human behaviours. These applied sciences don’t use cameras and acquire private data from sufferers.

Demonstration trials of those applied sciences might be held at hospitals and nursing houses with aged sufferers and people who require nursing care.

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Throughout the trials, Fujitsu will analyse whether or not its AI applied sciences are capable of detect physique actions comparable 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.


Final 12 months, 18 hospitals in Japan recorded practically 300 falls every month, in keeping 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 services to not solely scale back the chance of falls and critical accidents however to additionally help affected person monitoring and allow sooner response to emergency conditions whereas making certain sufferers’ privateness.

The organisations additionally plan to supply a MM wave sensor service for hospitals and nursing houses by subsequent 12 months, which is able to permit senior sufferers to get pleasure from better independence and privateness.

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A brand new wearable machine can also be stopping falls and aiding within the physiotherapy of aged sufferers in Singapore. Developed by researchers from Nanyang Technological College Singapore and Tan Tock Seng Hospital, the machine known 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 rise up or sit down safely.


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