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IBM fingernail sensor tracks health through your grip - Engadget
Its AI could detect the development of a disease.
The strength of your grip can frequently be a good indicator of your health, and not just for clearly linked diseases like Parkinson's -- it can gauge your cognitive abilities and even your heart health. To that end, IBM has developed a fingernail sensor that can detect your grip strength and use AI to provide insights. The device uses an array of strain gauges to detect the deformation of your nail as you grab objects, with enough subtlety to detect tasks like opening a pill bottle, turning a key or even writing with your finger.
From there, the sensor sends its data to a smartwatch (in this case an Apple Watch) where the AI kicks in. Machine learning on the watch can detect various signs of Parkinson's, such as tremors, bradykinesia (slow starts to voluntary movement) and dyskinesia (reduced voluntary movements). IBM added that it can use a neural network to accurately detect finger-written digits, which could help identify health issues associated with cognitive functions and motor skills.
Its AI could detect the development of a disease.
The strength of your grip can frequently be a good indicator of your health, and not just for clearly linked diseases like Parkinson's -- it can gauge your cognitive abilities and even your heart health. To that end, IBM has developed a fingernail sensor that can detect your grip strength and use AI to provide insights. The device uses an array of strain gauges to detect the deformation of your nail as you grab objects, with enough subtlety to detect tasks like opening a pill bottle, turning a key or even writing with your finger.
From there, the sensor sends its data to a smartwatch (in this case an Apple Watch) where the AI kicks in. Machine learning on the watch can detect various signs of Parkinson's, such as tremors, bradykinesia (slow starts to voluntary movement) and dyskinesia (reduced voluntary movements). IBM added that it can use a neural network to accurately detect finger-written digits, which could help identify health issues associated with cognitive functions and motor skills.