Sound Waves Bypass Visual Limitations to Recognize Human Activity

Tuesday, May 28, 2019 - 22:21 in Mathematics & Economics

Video cameras continue to gain widespread use to monitor human activities for surveillance, health care, home use and more, but there are privacy and environmental limitations in how well they work. Acoustical waves are an alternative medium that may bypass those limitations. Unlike electromagnetic waves, acoustical waves can be used not only to find objects but also to identify them. As described in a new paper in Applied Physics Letters, the researchers used a 2D acoustic array and convolutional neural networks to detect and analyze the sounds of human activity.

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