Publications

2025

Using Speakers as Sensors: Detecting Acoustic Loads with Dense Neural Networks and Impedance Features

M. Chen, K. Alexander Nakamura, N. Kim
Purdue Polytechnic Graduate Student Poster Symposium, 2025

Abstract

This research explores innovative methods for utilizing speakers as sensors to detect acoustic loads through the application of dense neural networks and impedance feature analysis. The study demonstrates the potential for repurposing conventional audio equipment for sensing applications, opening new possibilities in the field of electro-acoustics and sensor technology.

Machine Learning Acoustic Sensing Neural Networks Impedance Analysis Speaker Technology