@inproceedings { , title = {FITsense: employing multi-modal sensors in smart homes to predict falls.}, abstract = {As people live longer, the increasing average age of the population places additional strains on our health and social services. There are widely recognised benefits to both the individual and society from supporting people to live independently for longer in their own homes. However, falls in particular have been found to be a leading cause of the elderly moving into care, and yet surprisingly preventative approaches are not in place; fall detection and rehabilitation are too late. In this paper we present FITsense, which is building a Smart Home environment to identify increased risk of falls for residents, and so allow timely interventions before falls occurs. An ambient sensor network, installed in the Smart Home, identifies low level events taking place which is analysed to generate a resident’s profile of activities of daily living (ADLs). These ADL profiles are compared to both the resident’s typical profile and to known “risky” profiles to allow evidence-driven intervention recommendations. Human activity recognition to identify ADLs from sensor data is a key challenge. Here we compare a windowing-based and a sequence-based event representation on four existing datasets. We find that windowing works well, giving consistent performance but may lack sufficient granularity for more complex multi-part activities.}, conference = {26th International conference on case-based reasoning (ICCBR 2018)}, doi = {10.1007/978-3-030-01081-2\_17}, eissn = {1611-3349}, isbn = {9783030010805}, issn = {0302-9743}, note = {COMPLETED -- Now online 9/10/2018 LM -- Still NYP 30/7/2018 LM -- Rec'd docs from SC 5/7/2018 LM -- Found in accepted papers on conference website while adding another paper from SC, have asked contacts if full paper or poster and would like to add to OA 19/6/2018 LM ADDITIONAL INFORMATION: Craw, Susan ; Massie, Stewart -- Panel B}, pages = {249-263}, publicationstatus = {Published}, publisher = {Springer}, url = {http://hdl.handle.net/10059/2994}, keyword = {Health & Wellbeing, Living in a Digital World, Human activity recognition, Smart homes, Sensors}, year = {2018}, author = {Massie, Stewart and Forbes, Glenn and Craw, Susan and Fraser, Lucy and Hamilton, Graeme} editor = {Cox, Michael T. and Funk, Peter and Begum, Shahina} }