36.2 A Neural Interface SoC for Smart Glasses with Low-Power Neural Commanding and Efficient LoRA-Enabled On-Chip Learning

This work presents a 65 nm ExG SoC for smart glasses, enabling low-power neural interaction. A 10-ch AFE and on-chip CNN deliver real-time EOG/EMG/EEG inference. On-device continual learning via LoRA fine-tuning cuts trainable parameters by 54 to 77%. An ultra-lower-power nearest-feature neural commanding path was implemented to issue user commands and wake up heavy computation only when needed. Chunked delta encoding and a streaming pipeline reduce memory and expand training data by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.1 \times$</tex>.