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Human Communication Technology. Группа авторов
Читать онлайн.Название Human Communication Technology
Год выпуска 0
isbn 9781119752158
Автор произведения Группа авторов
Жанр Программы
Издательство John Wiley & Sons Limited
Table 2.3 Time-varying latency test-3 concerning speed reference and network latencies.
| Test | Speed reference latency | Network latency | Total latency |
| 1 | 4,061.42 ± 17.32 | 0.99 ± 0.02 | 4,062.41 ± 17.34 |
| 2 | 5,282.33 ± 16.96 | 1.00 ± 0.02 | 5,283.33 ± 16.98 |
| 3 | 6,106.19 ± 42.46 | 0.97 ± 0.02 | 6,107.16 ± 82.94 |
| 4 | 7,217.19 ± 19.56 | 0.91 ± 0.02 | 7,218.10 ± 19.58 |
| 5 | 7,997.36 ± 13.23 | 0.98 ± 0.02 | 7,998.34 ± 13.25 |
2.7 Conclusion
In the article, the Brain–Computer Interface framework intended for human–PC-based control of Internet of Things-based robot (Internet of Robotic Things) unit has been presented, which bolsters current robots with the chances of innovation based on Internet of Things. On account of the performed Brain–Computer Interface framework, what’s more, an Internet of Robotic Things gadget, such challenging condition have been an arrangement, and are reasonable for the acknowledgement of directing both the nearer and farther robots. In this trail condition, execution of humanoid mediation and their inactivity because of Brain–Computer Interface framework have been inspected. As indicated by the encounters of the performed tests, can be expressed, that for the appropriate activity of Brain–Computer Interface framework, trailing patients needed to rehearse the utilization of the gadget in the first place, to arrive at suitable outcomes. Then again, trailing patients is ready to accomplish humanoid intercession just periods of seconds dormancy, even though this inertness didn’t rely upon whether the trailing patients controlling robot legitimately before then again by distant action. The Brain–Computer Interface framework gives appropriate premise to test the innovation, also, on pounded of picked-up outcomes, assurance of sequences for additional upgrades. The Internet of Robotic Things and Brain–Computer Interface can be utilized well in instruction likewise to apply in inventive, troublesome, agreeable learning condition and utilizing current Information and Communication Technology innovation
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