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Unobtrusive behavioural monitoring

Unobtrusive behavioural monitoring via the interactions of daily living

Led by Prof. John Crowe, University of Nottingham

Daily transactions and interactions are increasingly digital; through analysing data flows this study aims to explore five data streams – activity at home via consumption of electricity & water through electrical devices; driving style; spend via bank & credit card information; position via GPS; and changes in voice pattern via pitch & word rate - that when extracted, analysed, processed, and presented in a suitable manner, could be used to track changes in behaviour that may be indicative of mood.

Presentation from the Stage 1 Update Workshop, November 2017

Stage 1 Feasibility Study – Final