Memory Bear, a new framework released on arXiv, expands multimodal affective intelligence by embedding persistent memory into emotion recognition. By modeling long‑term context across text, speech, and vision, it improves robustness against noisy inputs and supports continuous affect tracking.
The Signal
The approach promises broader adoption in global human‑computer interaction systems, enhancing empathy and decision support worldwide.