This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

Occupants represent one of the highly variable factors in buildings that can significantly impact their energy use, as the HVAC system is design to adjust the internal conditions and ventilation rates to the presence and/or count of occupants in a space. This presentation will provide an update on the progress of several teams of researchers, who are developing and testing low-cost, high-reliability occupancy sensors that meet stringent cost and reliability requirements across 4 categories, including (A) residential building presence sensing, (B) commercial building occupancy counting, and (C) commercial building CO₂ sensing.

• 
  1. (Category A): Battery-Free RFID Sensor Network with Spatiotemporal Pattern Network Based Data Fusion System
  Anthony Florita, Ph.D., Member, National Renewable Energy Laboratory, Golden, CO
• 2. (Category B): Development of Vision Based Occupancy Sensing System for HVAC Applications
  Michael Gevelber, Ph.D., Member, Boston University, Boston, MA
• 3. (Category C): Simulation, Testing and Evaluation of Occupancy Sensor Systems
  Zheng O'Neill, Ph.D., P.E., Member, Texas A&M University, College Station, TX