BioInsights: Extracting personal data from "Still" wearable motion sensors
Name
Picard_BioInsights.pdf
Size
1.95 MB
Format
Adobe PDF
Checksum (MD5)
b89c33d360ec53bedb6b581923a2ee89
Author(s)
Hernandez Rivera, Javier
McDuff, Daniel Jonathan
Picard, Rosalind W.
Date Issued
June 2015
Journal
2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Hernandez, Javier, Daniel J. McDuff, and Rosalind W. Picard. “BioInsights: Extracting Personal Data from “Still” Wearable Motion Sensors.” 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (June 2015).
Version
Author's final manuscript
Abstract
During recent years a large variety of wearable devices have become commercially available. As these devices are in close contact with the body, they have the potential to capture sensitive and unexpected personal data even when the wearer is not moving. This work demonstrates that wearable motion sensors such as accelerometers and gyroscopes embedded in head-mounted and wrist-worn wearable devices can be used to identify the wearer (among 12 participants) and his/her body posture (among 3 positions) from only 10 seconds of “still” motion data. Instead of focusing on large and apparent motions such as steps or gait, the proposed methods amplify and analyze very subtle body motions associated with the beating of the heart. Our findings have the potential to increase the value of pervasive wearable motion sensors but also raise important privacy concerns that need to be considered.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/BSN.2015.7299354
