MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202421015894 A) filed by Tata Consultancy Services Limited, Maharashtra, on March 6, 2024, for 'feature optimization and automated generation of tiny models for affective parameter determination from electrodermal activity.'
Inventor(s) include Mukhopadhyay, Shalini; Jaiswal, Dibyanshu; Sharma, Varsha; Dey, Swarnava; and Ghose, Avik.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "Wearable sensor-based stress detection is a well explored area of research in affective computing domain and are be performed with non-invasive sensing modalities like Electrodermal Activity (EDA). In recent years, with the increased availability of such wearable devices to end-users, these applications have become more pervasive and thus require a greater level of optimization for continuous usage on resource constrained and battery-powered devices. While several research works have focused on designing Machine Learning (ML) and Deep Learning (DL) models for these tasks, very few focus on resource footprint. The balance between classification accuracy and computational resources is difficult to achieve with manual design process and is time consuming. In the present disclosure, systems and methods apply Neural Network Search Space (NASS) technique on features for feature optimization, and generation of tiny models based on optimized features set suitable for round-the-clock inference, with minimal resource requirements, and low latency."
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