Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
|Authors||Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S|
Occupant behaviour accounts for a considerable proportion of variation in the energy efficiency profile of domestic buildings. As such it is vital that any “smart system” that is designed to reduce energy consumption takes into consideration human behaviour. In the proposed paper we introduce an innovative system currently under development known as DANCER (Digital Agent Networking for Customer Energy Reduction), which aims to reduce energy consumption in domestic dwellings while still retaining desirable levels of occupants’ comfort. One of the ways in which the system aspires to achieve this is by inferring a model of human behaviour from multiple channels of information obtained from different wireless sensors: ultra wideband (UWB) radar and energy consumption sensors – all time stamped to a reference clock (the wireless gateway clock). In the proposed paper we illustrate how information from these multiple channels can be drawn together to infer human behaviour and generate policies that if desired by the end-user can be implemented to reduce consumption via automation. We consider the next steps for DANCER and what success might look like for a smart system from a multidisciplinary perspective.
|Journal||European Council for an Energy Efficient Economy (ECEEE)|
|Publisher||London South Bank University|
|Accepted author manuscript|
CC BY 4.0
|01 Jun 2015|
|Publication process dates|
|Deposited||23 Jan 2017|
|Accepted||01 Jun 2015|
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