Lucia: A Temporal Computing Platform for Contextual Intelligence

TL;DR

Lucia is introduced, an open-source Temporal Computing Platform designed to enhance human cognition by capturing and utilizing continuous contextual memory that enables users to access a robust temporal memory, enhancing cognitive processes such as decision-making and memory recall.

Abstract

The rapid evolution of artificial intelligence, especially through multi-modal large language models, has redefined user interactions, enabling responses that are contextually rich and human-like. As AI becomes an integral part of daily life, a new frontier has emerged: developing systems that not only understand spatial and sensory data but also interpret temporal contexts to build long-term, personalized memories. This report introduces Lucia, an open-source Temporal Computing Platform designed to enhance human cognition by capturing and utilizing continuous contextual memory. Lucia introduces a lightweight, wearable device that excels in both comfort and real-time data accessibility, distinguishing itself from existing devices that typically prioritize either wearability or perceptual capabilities alone. By recording and interpreting daily activities over time, Lucia enables users to access a robust temporal memory, enhancing cognitive processes such as decision-making and memory recall.

Figures (6)

• Figure 1: The illustration of the device. The device comprises two main components: a temporal pin designed for multi-modal sensing and a temporal hub that performs computational processing.
• Figure 2: Comparison of Devices Based on All-day Wearability and Perceptual Capability. The X-axis represents All-day Wearability, indicating how comfortable and unobtrusive a device is for continuous, all-day use without the user sensing its presence. The Y-axis represents All-day Perceptual Capability, measuring the device's ability to continuously record and process data throughout the day, including direct real-time access to recorded data. Lucia is positioned in the upper-right quadrant, showcasing its superior performance in both dimensions. Other devices are plotted according to their relative capabilities, highlighting the trade-offs between wearability and perceptual functions in existing technologies such as Apple Watch, GoPro, Insta360 GO3s, DJI Action 2, Meta Ray-Ban, Google Glasses, and Microsoft HoloLens.
• Figure 3: The temporal pin of Lucia is designed for a nearly imperceptible user experience, weighing only 44 grams compared to the 220 grams or more typical of standard smartphones.
• Figure 4: Overview of sample data from the camera and the proximity sensor.
• Figure 5: Sample data from the IMU sensor.