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Timeline
Attention over time
Attention Score history
Mendeley demographics
| Title |
WearID: Low-Effort Wearable-Assisted Authentication of Voice Commands via Cross-Domain Comparison without Training
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), December 2020
|
| DOI | 10.1145/3427228.3427259 |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 11% |
| Researcher | 2 | 11% |
| Lecturer | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Unknown | 13 | 72% |