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

Rob Dunne

doi:10.13140/RG.2.2.27765.88805

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

Rob Dunne

Department of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Measuring Behaviour 2018 Conference Proceedings
DOIs	https://doi.org/10.13140/RG.2.2.27765.88805
Publication status	Published - 1 Jun 2018
Event	Measuring Behaviour 2018 - Manchester Metropolitan University, Manchester, United Kingdom Duration: 6 Jun 2018 → 8 Jun 2018 https://www.measuringbehavior.org/mb2018/

Conference

Conference	Measuring Behaviour 2018
Country/Territory	United Kingdom
City	Manchester
Period	6/06/18 → 8/06/18
Internet address	https://www.measuringbehavior.org/mb2018/

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10.13140/RG.2.2.27765.88805

Cite this

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title = "Behavioural Probability Matrix: A Computational Interface for Human Behaviour Prediction in Smart Environments",

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.",

author = "Rob Dunne",

year = "2018",

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doi = "10.13140/RG.2.2.27765.88805",

language = "English",

booktitle = "Measuring Behaviour 2018 Conference Proceedings",

note = "Measuring Behaviour 2018 ; Conference date: 06-06-2018 Through 08-06-2018",

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AB - 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.

U2 - 10.13140/RG.2.2.27765.88805

DO - 10.13140/RG.2.2.27765.88805

M3 - Conference contribution

BT - Measuring Behaviour 2018 Conference Proceedings

T2 - Measuring Behaviour 2018

Y2 - 6 June 2018 through 8 June 2018

ER -

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

Abstract

Conference

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