A Study on Wearable Tech Interfaces and Perception: Cognitive AI-Enabled Device

In our paper, we explore the possibility of utilizing state-of-the-art hardware architecture to develop an interactive Artificial Intelligence(AI) based virtual agent in an Internet of Things (IoT) enabled smart glass. In contrast to the traditional system that relies on Central Processing Unit(CPU) and Graphical Processing Unit(GPU), we examine the possibility of a proposed hardware system that employs neuromorphic computing for precise and energy-efficient processing in real-time, resolving the problems of latency and excessive power consumption. When combined with conventional Complementary Metal-Oxide-Semiconductor (CMOS) technology, Resistive Random Access Memory(ReRAM) offers non-volatile, fast memory that facilitates parallel computing and guarantees smooth data store and retrieval for wearables with limited resources. This study also emphasizes the application of intelligent virtual agents based on cognitive AI in wearable technology. In order to create an immersive human-computer interface, we attempted to create an intelligent interactive AI avatar with Cycle Generative Adversarial Network (CycleGAN) that mimics the user's traits and further pushes it to the large Language Model(LLM) to generate motion sequences that perform additional tasks, transforming LLM prompt reactions into movements.