Wearable Devices Ltd. announced that its gesture recognition algorithm has passed accuracy performance testing on a carefully curated custom dataset for finger movement recognition based on first-time usage. The AI-based system is designed to produce models that address the three essential user experience requirements of accuracy, false positive recognition, and responsiveness. The algorithm is universally compatible with the leading mobile operating systems. This includes support for TensorFlow Lite (tf-lite), a deep-learning framework for on-device inference, and Core ML, which facilitates the seamless integration of machine learning models into Apple devices.

Versions based on TensorFlow Lite Micro are also available for embedded applications. The Company also markets a B2B product, which utilizes the same technology and functions as the Mudra Band and is available to businesses on a licensing basis. Wearable Devices Is committed to creating disruptive, industry leading technology that leverages AI and proprietary algorithms, software, and hardware to set the input standard for the Extended Reality, one of the most rapidly expanding landscapes in the tech industry.