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.
|Title of host publication
|Measuring Behaviour 2018 Conference Proceedings
|Published - 1 Jun 2018
|Measuring Behaviour 2018 - Manchester Metropolitan University, Manchester, United Kingdom
Duration: 6 Jun 2018 → 8 Jun 2018
|Measuring Behaviour 2018
|6/06/18 → 8/06/18