Prediction of user intentions based on video captured interaction

User intention prediction of event data, collected during the business process, has become an important topic in Web Analysis and Business Intelligence. Commercial organizations have realized its importance for providing cost-effective opportunities to improve their decision-making in digital marketing strategies. We aim to develop and implement a statistical prediction model to make the prediction of […]

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A life cycle impact assessment methodology based on planetary boundaries

Planetary boundaries can be understood as limits for the Earth’s tolerance towards environmental impacts in the form of, for example, greenhouse gas emissions, water use and the release of nitrogen and phosphorous. This project aims at making planetary boundaries useful to the environmental management within companies. This will happen by developing a method that quantifies […]

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Constructing data-adaptive dictionaries for robust sparse feature selection in classification of noisy electro-dermal activity data

Hypersensitivity to sensory stimuli causes overstimulation, inducing overwhelming emotional distress in individuals with an autism spectrum disorder (ASD). Reveal is a wearable device designed by Awake Labs that monitors anxiety levels in ASD children and interfaces with parents and caregivers. It predicts behavioural “meltdowns” by tracking and classifying key physiological markers of anxiety using machine […]

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Complex Continuing Care in a Rural Hospital: Optimizing community-based health care

Community hospitals in small towns or rural areas face challenges in delivering health care that will allow elderly members of their community to remain in the community that they helped to build. Using simulation modelling, this project will develop strategies for delivering complex continuing care in rural hospitals that is closely integrated with long-term care, […]

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