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| Title |
IoT based activity recognition among smart home residents
|
|---|---|
| Published by |
IEEE, October 2017
|
| DOI | 10.1109/gcce.2017.8229478 |
| Authors |
Perumal, Thinagaran, Chui, Y. L., Ahmadon, Mohd Anuaruddin Bin, Yamaguchi, Shingo |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 24% |
| Computer Science | 7 | 21% |
| Unspecified | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Design | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 44% |