Capturing the human figure through a wall
Name
Capturing the Human Figure Through a Wall.pdf
Size
39.38 MB
Format
Adobe PDF
Checksum (MD5)
38a4186458d77ae3015c3fd0f0b95358
Author(s)
Adib, Fadel
Hsu, Chen-Yu
Mao, Hongzi
Katabi, Dina
Durand, Frederic
Date Issued
November 2015
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Adib, Fadel et al.“Capturing the Human Figure through a Wall.” ACM Transactions on Graphics 34, 6 (October 2015): 1–13
Version
Author's final manuscript
Abstract
We present RF-Capture, a system that captures the human figure -- i.e., a coarse skeleton -- through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even when the person is fully occluded from its sensor, and does so without placing any markers on the subject's body. In designing RF-Capture, we built on recent advances in wireless research, which have shown that certain radio frequency (RF) signals can traverse walls and reflect off the human body, allowing for the detection of human motion through walls. In contrast to these past systems which abstract the entire human body as a single point and find the overall location of that point through walls, we show how we can reconstruct various human body parts and stitch them together to capture the human figure. We built a prototype of RF-Capture and tested it on 15 subjects. Our results show that the system can capture a representative human figure through walls and use it to distinguish between various users.
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2816795.2818072
