MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641044201 A) filed by Saveetha Institute Of Medical And Technical Sciences, Chennai, Tamil Nadu, on April 7, for 'computer -vision -based posture deviation analyzer.'
Inventor(s) include S. Joshua Kumaresan; K. Sathya; and Deepak Nallaswamy Veeraiyan.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The proposed invention introduces an automated; non-invasive system for the continuous monitoring and correction of human posture using advanced computer vision and machine learning. At its core, the system utilizes a high-resolution optical sensor to capture live volumetric or two-dimensional image data of a subject in real-time. This raw data is processed by a specialized deep-learning inference engine-specifically a pose-estimation neural network-which maps a comprehensive skeletal "rig" by identifying key anatomical landmarks such as the cervical spine, acromion processes, and pelvic midpoints. The innovation moves beyond simple detection by implementing a geometric analysis layer that calculates precise angular deviations (such as the craniovertebral angle) against a personalized, predefined ergonomic baseline. This baseline is dynamically calibrated to account for individual anthropometric variations. When the subject's posture violates these ergonomic parameters for a duration exceeding a programmed temporal threshold, the system triggers an immediate feedback loop. This response is delivered via an integrated haptic motor for private notification or a visual interface for clinical review. By eliminating the need for wearable markers or sensors, this system provides a frictionless solution for preventing musculoskeletal disorders in workplace environments, remote offices, and physical therapy settings, ensuring long-tern1 spinal health through proactive behavioral modification."
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