HALo uses smartglasses IMU head orientation to localize conversation partners' acoustic zones, achieving 21% better performance with known partner count, while CoCo classifies partner numbers at 0.74 accuracy using only IMU data.
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RF-LEGO turns signal processing algorithms into trainable modular DL modules via deep unrolling, outperforming pure SP and DL baselines in RF sensing while preserving interpretability.
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Towards Localizing Conversation Partners using Head Motion
HALo uses smartglasses IMU head orientation to localize conversation partners' acoustic zones, achieving 21% better performance with known partner count, while CoCo classifies partner numbers at 0.74 accuracy using only IMU data.
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RF-LEGO: Modularized Signal Processing-Deep Learning Co-Design for RF Sensing via Deep Unrolling
RF-LEGO turns signal processing algorithms into trainable modular DL modules via deep unrolling, outperforming pure SP and DL baselines in RF sensing while preserving interpretability.