Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach
                        
                        
                            - Submitting institution
 
                            - 
                                Nottingham Trent University
                                
 
                            
 
                            - Unit of assessment
 
                            - 11 - Computer Science and Informatics
 
                            - Output identifier
 
                            - 37 - 702199
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1016/j.inffus.2017.05.005
                                
 
                                - Title of journal
 
                                - Information Fusion
 
                                - Article number
 
                                - S1566253517303433
 
                                - First page
 
                                - 18
 
                                - Volume
 
                                - 40
 
                                - Issue
 
                                - -
 
                                - ISSN
 
                                - 1566-2535
 
                                - Open access status
 
                                - Compliant
 
                            - Month of publication
 
                            - May
 
                            - Year of publication
 
                            - 2017
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                2
                            
 
                            - Research group(s)
 
                            - 
                                        
A - Computing and Informatics Research Centre
                             
                                - Citation count
 
                                - 31
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - This paper introduces the first system that investigates the potential of fusing on-body physiological and environmental sensory data for momentary assessment of wellbeing. The work was featured by many  news outlets attention including the Telegraph: https://www.telegraph.co.uk/science/2017/06/24/noisy-cities-disrupt-heartbeat-could-trigger-disease-study-suggests/ The significance of this paper is that it has led to enhanced partnerships between NTU and Nottingham City Council (including the air quality department). The underpinning research led to a recent funded project sponsored by DCMS (5G Connected Forest),  and was used to leverage a fully funded PhD studentship, leading to further publications (https://doi.org/10.1016/j.inffus.2018.09.001 & upcoming publication with focus on DigitalExposome).
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -