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Modeling Densely Sampled Activity Data Derived from Wearable Sensors: Opportunities and Challenges Natarajan, Loki
Item Metadata
| Title |
Modeling Densely Sampled Activity Data Derived from Wearable Sensors: Opportunities and Challenges
|
| Creator | |
| Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
|
| Date Issued |
2020-02-27T12:09
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| Extent |
27.0 minutes
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| Subject | |
| Type | |
| File Format |
video/mp4
|
| Language |
eng
|
| Notes |
Author affiliation: University of California San Diego
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| Series | |
| Date Available |
2020-09-17
|
| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
| DOI |
10.14288/1.0394398
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| URI | |
| Affiliation | |
| Peer Review Status |
Unreviewed
|
| Scholarly Level |
Faculty
|
| Rights URI | |
| Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International