MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111544 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 17, 2026, for Touch Based Human Anatomy Model.
Inventors include T. Uday Sankar; Dr. Tanmay Bharadwaj; and Dr Ramya Mohan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The Touch-Based Human Anatomy Model is an advanced interactive educational system designed to improve the learning of human body organs through touch-based technology. The system utilizes touch sensors embedded within a human anatomy model to detect user interaction in real time. When a user touches a specific organ, the system employs a microcontroller-based processing unit to identify the selected organ and trigger a corresponding audio explanation, providing an effective and engaging learning experience. This real-time interaction is supported by embedded system technology, which ensures quick response and accurate detection of touch inputs. The system integrates an audio module and speaker to deliver clear explanations, while indicators highlight the selected organ for better visual understanding. The model offers a user-friendly platform that allows students and educators to explore human anatomy through hands-on learning, making complex biological concepts easier to understand. It functions as a smart human-machine interface that converts physical touch on specific organ regions into meaningful audio explanations, allowing learners to explore the human body in an intuitive and engaging manner. By integrating sensor-based input, embedded processing, and responsive output mechanisms, the system enhances the overall learning experience and promotes active participation. The design emphasizes simplicity, usability, and accessibility, making it suitable for users of different age groups without requiring technical knowledge. This approach not only improves knowledge retention by engaging multiple senses but also transforms traditional passive learning methods into a dynamic and immersive experience. Built using cost-effective and modular components, the system ensures easy implementation, maintenance, and scalability, enabling future expansion with additional features and advanced technologies, thereby establishing itself as a modern and adaptable solution for anatomy education. Future enhancements may include mobile application integration, AI-based interactive learning, and augmented reality support, making it a powerful tool for modern educational environments and smart learning systems.
Disclaimer: Curated by HT Syndication.
