PhD in Human Activity Monitoring using Wireless Signals

There are many uses for understanding the movement and activities of people in an indoor space; such as within a nursing home to ensure that residents do not wander at night, elderly care motoring in their home, or to enable security surveillance applications. Activity monitoring and recognition has been an active area of research for over two decades. However, privacy and practical concerns around wearing sensors, or being actively tracked are potential barriers to adoption.

Interestingly, human bodies are good reflectors of wireless signals. As a result, human presence and activities can be recognized by monitoring changes in wireless signals in a space. This provides a potentially cheap non-intrusive way to monitor activity levels in spaces of interest. This project will focus on how to monitor the activities and well-being of individuals and groups in a space - using non-intrusive wireless signals. The proposed PhD research will enable the successful applicant to become an expert in state-of-the-art machine learning techniques applied to a human monitoring problem that is widely applicable across many domains including health, public services, education, and retail. The candidate will be in a position to work in ICT organisations in a research capacity in Artificial Intelligence.

Student requirements for this project

2.1 Computer Science or related discipline

Masters preferred

Student Stipend € 18500 per year

Fees € p.a. PAID

https://www.adaptcentre.ie/careers/phd-in-human-activity-monitoring-usin...

If you are interested in submitting an application for this project, please complete an Expression of Interest and email it to [email protected] .