MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202641099031 A) filed by Srinivas University; Institute Of Engineering And Technology on August 17, 2026, for Mindfit: A Smartwatch-Based Real-Time Smoking Detection System.

Inventors include Ms. Shravya Suvarna; Ms. Sinchana; Mr. Shreyas; Mr. Suraj R; Mr. Harshith Hs; Ms. Deepthi; Ms. Thejaswi C K; and Mr. Shodhan.

The application for the patent was published on August 28, 2026, under issue no. 35/2026.

Abstract: ABSTRACT MindFit: A SMARTWATCH-BASED REAL-TIME SMOKING DETECTION SYSTEM The MindFit system is a smartwatch-based real-time smoking detection system that utilizes embedded motion sensors and edge artificial intelligence for continuous, non-intrusive monitoring of smoking behavior. The system continuously collects accelerometer and gyroscope data from the smartwatch to analyze hand movements and identify smoking gestures. A lightweight machine learning model, deployed using TensorFlow Lite, is used for on-device gesture classification, while a novel hybrid approach combining AI prediction with rule-based motion validation (including acceleration thresholds, upward hand movement, and wrist rotation analysis) significantly improves detection accuracy and reduces false positives from similar activities such as eating, drinking, or face-touching. The system incorporates time-based filtering to prevent duplicate detections, a puff reset mechanism to distinguish smoking sessions from isolated gestures, and a cigarette estimation algorithm that aggregates individual puffs into consumption counts. Additional modules provide health impact estimation, behavioral pattern analysis, and predictive alerts based on historical usage data. The entire system operates on-device without cloud dependency, ensuring low latency, energy efficiency, and complete user data privacy. The proposed solution provides a practical and scalable approach for continuous health monitoring and supports behavioral awareness to help individuals reduce smoking habits.

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