Opus | Neck-worn AI Ambient Computing
Year: 2023-present
Status: In progress
Skills: AI/LLMs, prompt engineering, arduino, python, javascript, iOS/swiftUI, electronics prototyping, 3D Printing
Continuation of my senior thesis project for my Industrial Design degree from 2022
Opus is a neck-worn “digital epidermis” that transforms the emotional tone of digital interactions into subtle, physical sensations. By combining sentiment analysis from AI large language models with a library of expressive haptic patterns, the device bridges the gap between screen-based communication and embodied human feeling. Notifications, messages, and context cues are filtered, analyzed, and then expressed through nuanced tactile gestures that make digital emotions tangible. Opus treats technology not as a separate tool but as an extension of emotional awareness, an ambient, empathetic companion that helps restore presence and connection in digital life
The v1.4 revision builds on this vision with an expanded Emotional Haptic Library, new emotion classes, composite blends, and ambient meta-states. It introduces personalization through a companion app and adaptive AI that learns from user feedback and physiological signals. Hardware improvements add biometric sensors for context awareness while refining comfort, materials, and battery life. The AI pipeline has been upgraded with a lightweight 4B-parameter model for faster, more accurate sentiment analysis. Current work is focused on validating the haptic language, fine-tuning adaptive learning, and integrating the new sensing features to move Opus closer to a production-ready device.