MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078919 A) filed by Dr. Deepthi Sankar; Shamshadunnisa R; Lakshmi M R; Reema; Dr. E. Appa Rao; Prof. Kondru Subbarao; Dr. Yogesh Maheswari; Dr. V. Vijaya Kumar; Dr. Shraddha M. Wani; and Dr. A. Kannammal on June 26, 2026, for Neuromarketing System For Consumer Preference Prediction Using Emotional And Cognitive Analytics.
Inventors include Dr. Deepthi Sankar; Shamshadunnisa R; Lakshmi M R; Reema; Dr. E. Appa Rao; Prof. Kondru Subbarao; Dr. Yogesh Maheswari; Dr. V. Vijaya Kumar; Dr. Shraddha M. Wani; and Dr. A. Kannammal.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses an artificial intelligence-based neuromarketing system for predicting consumer preferences using emotional and cognitive analytics. The system captures multimodal consumer response data including facial expressions, eye movements, physiological signals, voice characteristics, behavioral interactions, and contextual information. An emotional analytics engine processes the collected data to identify consumer emotional states and response patterns, while a cognitive analytics engine evaluates attention, engagement, perception, and decision-making indicators. A multimodal fusion module integrates emotional, cognitive, and historical behavioral data to generate a consumer preference profile. A machine learning-based prediction engine analyzes the profile to determine purchase likelihood, product affinity, and marketing response probability. An adaptive learning module continuously improves prediction accuracy using consumer feedback and behavioral outcomes, enabling personalized marketing strategies, optimized customer engagement, and intelligent consumer behavior analysis.
Disclaimer: Curated by HT Syndication.
