Publication | ACM Workshop on Device-Free Human Sensing 2019

Occupancy Visualization towards Activity Recognition

Abstract

Occupancy Visualization towards Activity Recognition

Alex Tessier, Simon Breslav, Kean Walmsley, Michael Lee, Hali Larsen, Jacky Bibliowicz, Pan Zhang, Liviu Calin, Bokyung Lee, Josh Cameron, Rhys Goldstein, Azam Khan

ACM Workshop on Device-Free Human Sensing 2019

We present a sensor visualization system that integrates data streams from individual custom sensor arrays together with Building Automation System (BAS) data. To help bridge the gap between actual building usage by the occupants, and the aggregate assumed usage by the control system, we have developed several sensor processing subsystems moving toward automated human activity recognition without the need for directly instrumenting the occupants. By having a system with a detailed understanding of occupancy behavior and needs, we believe buildings could be much more efficient thereby reducing energy consumption, working toward sustainability of the built environment.

Download publication

Related Resources

Publication

2022

BeNTO: Beam Network Topology Optimization

We present an optimization framework that allows designers and…

Publication

2021

RXMesh: A GPU Mesh Data Structure

We propose a new static high-performance mesh data structure for…

Publication

2017

Multiscale Representation of Simulated Time

To better support multiscale modeling and simulation, we present a…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us