Difference between revisions of "Biometric data capture (project)"
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= Biometric data capture = | = Biometric data capture = | ||
| − | The NBCC Mobile First Technology initiative has | + | The NBCC Mobile First Technology initiative (MFTi) has worked with various biometric data acquisition and emotion analysis technologies in support of proprietary projects. |
'''Research topics''' | '''Research topics''' | ||
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''[keywords]'' | ''[keywords]'' | ||
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| + | MFTi customized a biometric data acquisition system to facilitate experiments conducted with with industrial and university collaborators. Biometric data types acquired by the system included EDA, EEG, EMG, and pulse oximetry. The system was built using the ''bitAlino'' sensor interface platform and the ''OpenSignals'' data acquisition, processing, and visualization software system. Eye tracking was performed using a separate Mirametrix system. MFTi developed custom software to process the data post acquisition, which included noise filtering and time-based synchronization of the biometric and eye tracking data. Subsequent work within this project has focused on the evaluation of various emotion analysis technologies, including technologies based on facial analysis or biometric data analysis. | ||
'''Demonstrations''' | '''Demonstrations''' | ||
| − | * [[ | ]] | + | * [[File:Nbcc_ca_mobi_photo-biometric-00-sensorplacement.png | 250px]] |
// Place links here to screen shots, videos, or URLs to running systems when possible. // | // Place links here to screen shots, videos, or URLs to running systems when possible. // | ||
Revision as of 14:24, 11 April 2017
// Place. Standard NBCC.ca Header here //
Biometric data capture
The NBCC Mobile First Technology initiative (MFTi) has worked with various biometric data acquisition and emotion analysis technologies in support of proprietary projects.
Research topics
[keywords]
MFTi customized a biometric data acquisition system to facilitate experiments conducted with with industrial and university collaborators. Biometric data types acquired by the system included EDA, EEG, EMG, and pulse oximetry. The system was built using the bitAlino sensor interface platform and the OpenSignals data acquisition, processing, and visualization software system. Eye tracking was performed using a separate Mirametrix system. MFTi developed custom software to process the data post acquisition, which included noise filtering and time-based synchronization of the biometric and eye tracking data. Subsequent work within this project has focused on the evaluation of various emotion analysis technologies, including technologies based on facial analysis or biometric data analysis.
Demonstrations
// Place links here to screen shots, videos, or URLs to running systems when possible. //
Publications
- [[ | ]]
Source code
- [[ | ]]
Project contact
William McIver Jr.
