Experiences from Assessing Daily Activities to Increase Safety

Experiences from Assessing Daily Activities to Increase Safety and Comfort of Older Persons Living Alone Paul Panek, Peter Mayer, Özge Subasi and Wolfgang L. Zagler Institute for Design and Assessment of Technology Vienna University of Technology IFA 11 th Global Conference on Ageing 28 May – 1 June 2012, Prague, Czech Republic

Content § Introduction and Aim § Approach § Results from Fieldtrials § Conclusion

Introduction & Aim § Many research papers available about AAL systems and activity monitoring – But unclear, to what extent such systems can be applied in real life § Therefore - Aim of e. Home project: – Demonstration of practical usefulness – In daily use – Basic system with Zig. Bee based sensors was developed

Approach § Daily life follows certain schedules – Given by routine – Following social and biological rhythms § e. Home monitors continuously – Assessing activities in fixed time slices (e. g. 1 hour) – Triggering supportive or emergency actions if significant deviations – Keeps private data protected inside the user’s home § Objective of e. Home: Improving safety and comfort of older persons living alone at home

Approach § e. Home system uses – Sensors connected via Zig. Bee – Storing data in a database – Data being processed in a small central unit – Situated at user’s home ( privacy of data) – Connected to the Internet.

Approach § Event triggered expert system can raise alerts based on: – Time of activities (e. g. rising from bed compared to daily history) – Duration of selected activities (e. g. nightly leaving of bed) – Frequency of activities (e. g. reduction in cooking, hygiene)

Approach § Assumption of e. Home is: – Even by applying a rather coarse monitoring by a small set of sensors a sufficient insight into the user’s activity can be reached – Even if “better” and “more” sensors would be possible this was avoided in order to § Increase perspective for economic exploitation § Improve the to-be-expected user acceptance

Field Trials § Extensive evaluation with – 5 research prototype systems – installed in 11 homes of older persons – over a total time of 18 months

Field Trials § Zig. Bee Sensors for – Door / window – Acceleration & floor vibration (e. g. for fall detection) – Temperature – Cooking plate temp. (infrared) – Movement (passive infrared) – Light

Impressions from Field Trials § Local User Interface – Touch-Screen Terminal without typical PC look – Fits to furniture – Easy to use – Video telephone – Smart-Home Controls – Emergency Call – Internet Browser

e-HOME – reminders & call for help

e-HOME – easy to use (video) phone

Field Trials

Results § System was able to classify “usual behaviour” over time. This can be used in different ways: – Unusual sudden changes (e. g. not leaving bed in the morning) triggering alarm – mid-term and long-term trends present changes to care persons to let them judge about the meaning and severity of recognised changes.

Presence in living room 9 July

Results § The system is able to learn / adapt over time its threshold parameters § Remark: Even right from the beginning the system is able to work with initial values important for practical use! § By adapting over time it will improve performance

Conclusion § Despite needs for improvement there is evidence that the system actually is considered by users and experts to have the potential to bring significant benefits in supporting older persons and carers. § e. Home prototype currently is used in LLM (CIP) and KSERA (FP 7) project § Costs for low quantities of basic e. Home system with 3 multi-sensor boxes are 1, 500 Eur.

e. Home in demo apartment Schwechat

Acknowledgements Supported by: Austrian Federal Ministry for Transport, Innovation and Technology (FIT-IT contract number 815195). Consortium: TU Vienna, Ceit Raltec, Kapsch Carriercom and Treventus Mechatronics. For questions: subasi@igw. tuwien. ac. at Web site: www. aat. tuwien. ac. at/ehome/