Lifelong Learning in Sensor-Based Human Activity Recognition
Erica Ye
University of St Andrews
Webpage
22 November 2018
11:15 - 12:15
Room 3.06
Earl Mountbatten Building
Abstract
Sensor-based human activity recognition is to recognise users’ current
activities from a collection of sensor data in real time. For example,
we can infer a user is making a meal using data collected from
infra-red positioning sensors in a kitchen and RFID sensors on food
storage containers, cupboards and the fridge. This ability presents an
unprecedented opportunity to many applications, and ambient assisted
living (AAL) for elderly care is one of the most exciting
examples. From the meal preparation activities, we can derive the
user’s diet routine and detect any anomaly or decline in physical or
cognitive condition, leading to immediate, appropriate change in their
care plan.
With the rapidly increasing ageing population and overstretched
strains on our healthcare system, there is a rapidly growing need for
industry in AAL. However, the complexity in real-world deployment is
significantly challenging current sensor-based human activity
recognition, including the inherent imperfect nature of sensing
technologies, constant change in activity routines, and
unpredictability of situations or events occurring in an
environment. Such complexity can result in decreased accuracies in
recognising activities over time and further a degradation of the
performance of an AAL system.
The state-of-the-art methodology in studying human activity
recognition is cultivated from short-term lab or testbed
experimentation, i.e., relying on well-annotated sensor data and
assuming no change in activity models, which is no longer suitable for
long-term, large-scale, real-world deployment. This talk will present
our recent work in exploring lifelong learning in sensor-based human
activity recognition and discuss the future directions.
Bio
Juan Ye is a Lecturer in the School of Computer Science at University of St Andrews. She has a PhD in Computer Science at the University College Dublin, Ireland. Her research interests centre around adaptive pervasive systems, specialising in sensor-based human activity recognition, sensor fusion, context awareness, ontologies, and uncertainty reasoning.
Host: Rob Stewart