MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202647115920 A) filed by Google LLC on September 28, 2026, for Machine-Learned Models For Denoising Biometric Signals Collected Using Mobile Biometric Sensors.
Inventors include Poh, Ming-Zher; Liao, Shun; and Di Achille, Paolo.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: Training data is generated for training a machine-learned biometric noise reduction model. Generating the training data comprises obtaining information descriptive of a plurality of clean biometric signals measured using a corresponding medical device. For each clean biometric signals, noise is sampled from noise source(s) of a plurality of candidate noise sources. The noise is applied to at least a portion of the clean biometric signal. The training data is processed with the machine-learned biometric noise reduction model to obtain a plurality of denoised biometric signals. The machine-learned biometric noise reduction model is trained based on a loss function that evaluates a difference between the plurality of denoised biometric signals and the plurality of clean biometric signals.
Disclaimer: Curated by HT Syndication.
