MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641009506 A) filed by Zenithzephyr Wellness Private Limited, Bangalore, Karnataka, on Jan. 30, for 'method and system for real-time detection of divergence between verbal statements and physiological signals during natural conversation.'
Inventor(s) include Dhananjay Yadav; and Aryan Yadav.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-implemented system and method for real-time detection of divergence between verbal statements and physiological signals during natural conversation. The system comprises an audio input device configured to capture speech signals, a wearable biometric sensor configured to capture physiological signals, at least one processor, memory, and an output interface. The processor extracts discrete speech events from the captured audio signals, extracts physiological features from the physiological signals, and temporally aligns each speech event with a corresponding physiological signal segment based on time correlation. Verbal sentiment associated with a speech event and physiological state associated with the aligned physiological features are determined, and divergence between the verbal sentiment and the physiological state is evaluated. The system operates in real time during ongoing conversation and processes raw audio and physiological signals in volatile memory without persistent storage. Outputs indicative of detected divergence are generated for further use or presentation."
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