NDLI: Visible light based activity sensing using ceiling photosensors

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Visible light based activity sensing using ceiling photosensors

Content Provider	ACM Digital Library
Author	Ibrahim, Mohamed Howard, Richard Nguyen, Viet Rupavatharam, Siddharth Jawahar, Minitha Gruteser, Marco
Abstract	This paper explores the feasibility of tracking motion and activities of humans using visible light. Shadows created by casting visible light on humans and objects are sensed using sensors that are embedded along with the light sources. Existing Visible Light Sensing (VLS) techniques require either light sensors deployed on the floor or a person carrying a device. Our approach seeks to measure light reflected off the floor to achieve an entirely device-free and light-source based system. We co-locate photosensors with LED light sources to observe the changes in light level occurring on the floor. Our system also uses a sensitive standard difference measurement technique to detect small voltage changes, together with a time division flickering scheme to differentiate between light nodes. We evaluate the feasibility of our system in detecting simple activities, and show that it can detect door opening events at 12% Equal Error Rate.
Starting Page	43
Ending Page	48
Page Count	6
File Format	PDF EPUB
ISBN	9781450342537
DOI	10.1145/2981548.2981554
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Activity sensing Ceiling photosensors Visible light sensing
Content Type	Text
Resource Type	Article

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