Real-time personal healthcare data analysis using edge computing for multimodal wearable sensors. Device , 2024; 100597 DOI: 10.1016/j.device.2024.100597 Cite This Page : ...

Transition-edge sensors (TESs) have emerged as a cornerstone in the development of high-resolution X‐ray microcalorimeters, combining superconducting phenomena with precise calorimetric techniques.

Edge computing on a smartphone has been used to analyze data collected by a multimodal flexible wearable sensor patch and detect arrhythmia, coughs and falls. Wearable sensors are devices that can ...

BrainChip Execs Talk Advantages of Putting AI on Sensors at the Edge as Part of Embedded Vision Summit May 20, 2021 02:58 PM Eastern Daylight Time ALISO VIEJO, Calif.--( BUSINESS WIRE ...

IRVINE, Calif., Jan. 06, 2025 (GLOBE NEWSWIRE) -- Syntiant Corp., a leader in edge AI deployment, today announced that it will unveil its latest advancements in MEMS microphones, vibration sensors ...

The new sensors can be used in several areas, including military and defence for the detection of CWAs, environmental monitoring to detect pesticide contamination in agricultural settings, industrial ...

Peophesee, the French neuromorphic vision sensor specialist, has availability of an event-based vision sensor developed for integration into Edge AI vision devices. The GenX320 Event-based Metavision ...