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A natural language interface for smart homes that automatically generates and deploys automation logic, improving usability by up to 38%. Best Paper Award.

A transformer-based U-Net model for bone conduction speech denoising, achieving 135% improvement in PESQ by leveraging known speaker interference.

An embodied AI system combining foundation models with a custom drone platform that can autonomously reconfigure its sensors and actuators to accomplish diverse physical tasks.

A comprehensive multi-modal dataset capturing post-exercise speech, breathing, and heart sounds from 59 subjects across varied exertion levels for resilient physiological monitoring.

Anemoi’s sub-$100 drone-based system autonomously maps 3D indoor airflow fields without the need for any external sensor, leveraging airflow effects on motor control signals and outperforming existing methods with significantly reduced errors in wind speed and direction estimation.

A non-contact acoustic-based system for treadmill cadence estimation using smartphones, achieving accuracy comparable to Apple Watch.

LegoSENSE’s open-source and modular platform, built on the Raspberry Pi, simplifies rapid end-to-end deployment of customized IoT sensing solutions, enabling even non-engineers to set up applications up to 9× faster.

A home-based AI therapist that combines conversation with smart home sensor data to assess 37 dimensions of daily functioning and mental wellness.