BioInsights: Extracting personal data from "Still" wearable motion sensors
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 s...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/110627 https://orcid.org/0000-0001-9504-5217 https://orcid.org/0000-0002-5661-0022 |
| _version_ | 1811090482629967872 |
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| author | Hernandez Rivera, Javier McDuff, Daniel Jonathan Picard, Rosalind W. |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Hernandez Rivera, Javier McDuff, Daniel Jonathan Picard, Rosalind W. |
| author_sort | Hernandez Rivera, Javier |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:46:52Z |
| format | Article |
| id | mit-1721.1/110627 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:46:52Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1106272022-09-29T10:30:24Z BioInsights: Extracting personal data from "Still" wearable motion sensors Hernandez Rivera, Javier McDuff, Daniel Jonathan Picard, Rosalind W. Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Hernandez Rivera, Javier McDuff, Daniel Jonathan Picard, Rosalind W. 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. National Science Foundation (U.S.). (CCF-1029585) 2017-07-11T15:01:02Z 2017-07-11T15:01:02Z 2015-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-7201-5 http://hdl.handle.net/1721.1/110627 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). https://orcid.org/0000-0001-9504-5217 https://orcid.org/0000-0002-5661-0022 en_US http://dx.doi.org/10.1109/BSN.2015.7299354 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Hernandez Rivera, Javier McDuff, Daniel Jonathan Picard, Rosalind W. BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title | BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title_full | BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title_fullStr | BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title_full_unstemmed | BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title_short | BioInsights: Extracting personal data from "Still" wearable motion sensors |
| title_sort | bioinsights extracting personal data from still wearable motion sensors |
| url | http://hdl.handle.net/1721.1/110627 https://orcid.org/0000-0001-9504-5217 https://orcid.org/0000-0002-5661-0022 |
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