Keynote Title: Personalised Mobile Health: Harnessing the Power of Big Data from Multimodal Signals in IoT Framework.
In a world where all things are connected (i.e. the Internet of Things), the interplay of mobile and cloud computing enables innovative services that leverage multi-modal data analytics and machine-learning to analyse person-centric data and personalise the service delivery. Mobile, wearable and ambient technologies have become ubiquitous and personal as they are always-on and readily accessible everywhere to non-invasively sense personal data using multi-modal signals, including facial expressions, physical activity, sleep, ECG (heart rate), EEG (electrical activity in brain) and the relevant contexts, such as weather and air quality. At the heart of the system, interconnected cloud services will support the integration of hard- (device based) and soft- (software based) signals to computationally predict a person’s wellness states 24/7 to assist in personalising health and wellness promotion programs.
My presentation will focus on the interdisciplinary challenges of data-driven multimedia computing to support breakthroughs in the field of personalised health services technology, in order to build market-oriented professional health service platform to meet people’s growing demand for health services that actually work for each individual. The objectives are: (1) Mobile-cloud services enabled health platform for monitoring and treatment of chronic diseases; and (2) Universal system architecture for supporting an integrated, personalised and collaborative wellness promotion programs, which emphasises on individual’s perceived control, planned behaviour, self-efficacy, and social (peer) supports.
Dr. Dian Tjondronegoro
Dr. Dian Tjondronegoro is an Associate Professor at the Science and Engineering Faculty, Queensland University of Technology. He is the leader of Brisbane’s The Things Network (TTN) community, where he is currently focusing on data-driven wellness promotion and advanced air quality sensing projects. He has lead projects contributing to three Cooperative Research Centres (CRCs): CRC Smart Services (smart video optimisation for mobile and multi-channel delivery), CRC Rail Innovation (mobile technologies for delivering real-time transit information and mobile payment), and CRC Young and Well (mobile music tool for mood journey). Since 2009, he has been actively collaborating with cross-disciplinary researchers to design, develop, and evaluate Mobile Health applications for promoting women wellness, designing for children health education, fostering motivations for perinatal mental health, and promoting responsible drinking. His research interest is analyzing, summarizing and visualising multimodal data (image, sound, video, and text) to support intuitive and engaging interactions through mobile and wearable devices and embedded sensors in the environment, particularly for health applications. He has published more than 130 papers in multi-modal data analysis, health informatics, mobile computing, and human-computer interactions fields. He has written two edited books in the field of mobile multimedia.