ESR1. Complex activity modelling and recognition within smart environments.
Phd enrollment: Yes.
Start Date: June - September 2016.
Duration: 36 Months.
Host Organisation: School of Computer Science and Informatics, De Montfort University, UK
Location: The Gateway, Leicester, LE1 9BH, UK
Project Title: Complex Activity Modelling and Recognition within Smart Environments
Objectives: Context inference and activity recognition play a critical role in assisted living. Extensive research has been undertaken in this area, including data-driven methods based on data mining and machine learning techniques, e.g. HMM, DBN, SVM, CRF, and knowledge-driven methods based on knowledge modelling, representation and inference, e.g. event calculus, plan recognition, ontological modelling and reasoning. Nevertheless, current research mainly focuses on simple, pre-scripted and well-designed scenarios. Many problems remain open issues, e.g. interleaved and concurrent activity recognition, which are important for behaviour analysis, health prediction and personalised assistance.
This project will develop a novel complex activity recognition system which is capable of discerning real-time sensor observations on-the-fly and dynamically recognising simple and complex (e.g. interleaved or concurrent) activities. The system will support continuous progressive activity analysis and provide context-aware assistance, in particular, for people with cognitive impairments. This will be achieved by developing 1) semantically rich sensor and activity models, 2) a real time sensor data separation method based on sensor observation semantics, 3) a multi-thread algorithm for progressive multiple atomic and complex activity recognition, and 4) a working prototype system towards a demonstrator.
- Underlying semantic sensor models and dynamic segmentation algorithms.
- Semantic enabled recognition methods.
- An implemented prototype for an overall assistive living solution.
- Integration of technologies and tools into application demonstrators.
- 1st: ACCORD, UK, to engage with professionals and understand end users’ needs and considerations.
- 2nd: Dundalk Institute of Technology, Ireland, to understand the CASALA living lab and the Great Northern Haven and dada sets.
- 3rd: Universidad Politecnica De Madrid, Spain, to know living support lab, prepare and conduct benchmark evaluation.
- 4th: Northwestern Polytechnical University, China, to get an international perspective and research exchange.
How to Apply:
To apply, follow instructions in the university’s research degree online application page.
Please quote the post reference number to which you would like to apply.