Behavioural Probability Matrix: A Computational Interface for Human Behaviour Prediction in Smart Environments

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is a rapidly growing interest in smart home and assistive living technology , and predicting human behaviour in these smart environments is a key component of moving from purely reactive to pre-emptive systems. This project proposes a real time behavioural probability matrix (BPM) that can be used as an interface for applications to preempt user needs in smart home, ambient intelligence, or assistive living environments. The BPM provides a data structure for applications to access that will be updated in real time, as occupant sensor data is analysed, using the latest research developments in human behaviour prediction.
Original languageEnglish
Title of host publicationMeasuring Behaviour 2018 Conference Proceedings
DOIs
Publication statusPublished - 1 Jun 2018
EventMeasuring Behaviour 2018 - Manchester Metropolitan University, Manchester, United Kingdom
Duration: 6 Jun 20188 Jun 2018
https://www.measuringbehavior.org/mb2018/

Conference

ConferenceMeasuring Behaviour 2018
Country/TerritoryUnited Kingdom
CityManchester
Period6/06/188/06/18
Internet address

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