Sensors of any kind, from temperature, flow, shock and vibration, or cameras collect the data necessary for a machine learning system to operate properly. Sensor data is sent, often wirelessly ...

The custom sensor (shown in the diagram below) uses machine learning algorithms to process the data it’s picking up, so it can be trained to identify various types of domestic activity ...

There were 520 paired values collected in the study used to train a machine learning model to estimate glucose values from the radiofrequency sensor data. The remaining 130 pairs were used to test ...

The iCares bandage uses innovative microfluidic components, sensors, and machine learning ... the flow of liquids -- clears excess moisture from wounds while providing real-time data about ...

It is 100% autonomous, and therefore wireless, with a data flow that is 3 times ... in particular piezoelectric sensors, and works on all types of industrial machine. The Wi-care 130 G23 is ...

Low-cost, wearable sensors could increase access to care for patients with Parkinson's disease. New machine-learning approaches and a baseline of data from healthy older adults improve the ...