Instead of relying on cameras or cloud models, it observes whatever signals exist in a space such as WiFi, radio waves across the spectrum, motion patterns, vibration, sound, or other sensory inputs ...
See through walls with WiFi. No cameras. No wearables. Just radio waves. WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection ...
This paper presents a novel simulation framework for estimating the dynamic response of a full-scale ground-mounted solar panel array under stationary wind loads that are spatially correlated across ...
The Fast Fourier Transform (FFT) is the most powerful and widely used method for transforming signals from the time domain to the frequency domain, being employed in cutting-edge research fields.
Department of Chemical and Biological Engineering, and Institute of Chemical Processes, Seoul National University, Seoul 08826, Republic of Korea Bionics Research Center, Korea Institute of Science ...
Objective: Acoustoelectric brain imaging (AEBI) is a promising imaging method for mapping brain biological current densities with high spatiotemporal resolution. Currently, it is still challenging to ...
In this study, we present initial efforts for a new speech recognition approach aimed at producing different input images for convolutional neural network (CNN)-based speech recognition. We explored ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results