The two main approaches for HAR systems are sensor-based activity recognition and vision ... like accelerometers or gyroscopes, on a human to collect data. Vision-based activity uses images ...

When it comes to interpreting sensor data automatically ... radar sensors to recognize activity of e.g. building occupants with the IMU2Doppler project at Smash Lab of Carnegie Mellon University.

This project will combine different ensemble methods, like voting or stacking, to handle data from various sensors (such ... Large Language Models for Wearable Sensor-Based Human Activity Recognition, ...

ST’s FlightSense 8×8 multizone ToF ranging sensor employs tailored AI algorithms for enhanced human presence detection in ...

The researchers integrated their sensor into a face mask that wirelessly transmits breathing data ... a shift in human activity monitoring. By focusing on this single, information-rich parameter, the ...

(Phys.org) —A team of researchers at National Taiwan University has developed a sensor ... activities (cough, chew gum, etc.) for approximately 30 seconds each while the computer analyzed the ...

To address this, the research team has developed a multi-modal human emotion recognition ... sensor that enables the simultaneous sensing and integration of verbal and non-verbal expression data.