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 ([email protected] ) 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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