Qualification Type: | PhD |
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Location: | Coventry |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | UKRI rate for 3.5 years |
Hours: | Full Time |
Placed On: | 2nd April 2024 |
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Closes: | 1st August 2024 |
Reference: | Computer Science - WiFi |
Human activity recognition (HAR) is a compelling topic in the fields of ubiquitous computing, with numerous applications including human behaviour understanding, smart healthcare, human-computer-interaction (HCI), and more. Among various sensing technologies, Radio Frequency (RF) signals such as WiFi can be applied in a less intrusive manner, offering significant potential in smart home environments. However, due to multipath propagation, WiFi signals often contain a high level of noise from physical environments that need to be suppressed before developing HAR models.
In this PhD project, the student will investigate the following three main directions:
Please contact Dr Yu Guan (Yu.Guan@warwick.ac.uk) in the first instance.
Funding Details
Home fees paid and an annual stipend at UKRI rate for 3.5 years. EU/International applicants are welcome to apply but will be required to cover the difference between home and EU/international fees.
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