Ambient sensing and processing

We research innovative sensors, sensing techniques, and highly optimized processing accelerators for human and object identification, activity tracking, and environmental monitoring in private, public, industrial, and natural environments. We focus on sensing, processing, and communications that feature low energy, low latency, long life, tagless and unobtrusiveness, low cost, and observe privacy to enable advanced ambient intelligence and assisted living applications, and to prevent natural or building hazards.

Temi di ricerca

• Hardware-accelerated machine learning for human localization, identification and behavior inference
• Innovative control techniques for DC-DC switch-mode conversion systems
• Tagless indoor person localization and identification