Monitoring People that Need Assistance through a Sensor-based System: Evaluation and First Results

AI-AM / NetMed 20154th International

Workshop on Artificial Intelligence and

Assistive Medicine

June 20, 2015

Monitoring People that Need Assistance through a Sensor-based System:

Evaluation and First Results

Xavier Rafael-Palou, Eloisa Vargiu, Felip MirallesEURECAT

Barcelona, Spain

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1. Assisting elderly and disabled people

2. A sensor-based telemonitoring system

3. Evaluation and Results

4. The SAAPHO project

5. The BackHome project

6. Conclusions

Outline

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Assisting elderly and disabled people

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How to better live alone at home…

People need to be independent to live better

Elderly people feel more safe living at their home

People need to return to their previous life roles

The long term rehabilitation goal for individuals with an TBI is resettlement back in thecommunity away from institutional care

IT IS URGENT TO ASSIST PEOPLE LIVING ALONE THROUGH ICT SOLUTIONS

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A Sensor-based Telemonitoring System

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Home

4 in 1:DoorMotionTemperatureLuminosity

3 in 1:MotionTemperatureLuminosity

z-wave

smartphone

Raspberry pi

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Healthcare Center

SC: Summary of a day

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Intelligent Monitoring

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Intelligent Monitoring

PP Its goal is to preprocess the data iteratively sending

a chunk c to both ED and RE according to a sliding window approach

Starting from the overall data streaming, the system sequentially considers a range of time |ti - ti+1| between a sensor measure si at time ti and the subsequent measure si+1 at time ti+1

The output of PP is a window c from ts to ta, where ts is the starting time of a given period and ta is the actual time

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Intelligent Monitoring

ED It aims to detect and inform about emergency

situations for the end-users and about sensor-based system critical failures

Regarding the critical situations for the end-users, simple rules are defined and implemented to raise an emergency, when specific values appear on c

Regarding the system failures, ED is able to detect whenever user’s home is disconnected from the middleware as well as when a malfunctioning of a sensor occurs

Each emergency is a pair <si; lei> composed of the sensor measure si and the corresponding label lei that indicates the corresponding emergency

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Intelligent Monitoring

AR Its goal is to recognize

activities performed by the user

To recognize if the user is at home or away and if s/he is alone, we implemented a solution based on machine learning techniques

The output is a triple <ts; te; l>

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Intelligent Monitoring

EN It is able to detect events to be notified Each event is defined by a pair <ti; l> corresponding

to the time ti in which the event happens together with a label l that indicates the kind of event

Currently, this module is able to detect the following events: o leaving the homeo going back to homeo receiving a visito remaining alone after a visito going to the bathroomo going out of the bathroomo going to sleepo awaking from sleep

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Intelligent Monitoring

SC Once all the activities and events have been

classified, measures aimed at representing the summary of the user’s monitoring during a given period are performed

Two kinds of summary are providedo Historicalo Actual

A QoL assessment system is also provided to assess a specific QoL itemso Mobilityo Sleepingo Mood

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Evaluation and Results

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Evaluation

An abled-body woman who lives alone a window of 4 months for training and evaluation

(training dataset) a window of 1 month for the test (testing dataset) experiments have been performed on AR and EN

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Evaluation

AR: Overall hierarchical approach

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Evaluation

AR: Overall hierarchical approach

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Evaluation

AR: Overall hierarchical approach

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Evaluation

AR: Activity

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Evaluation

AR: Location

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Evaluation

AR: Indoor position

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Evaluation

AR: Sleeping

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The SAAPHO project

AAL-2010-3-035

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The Project SAAPHO was aimed at supporting Active Ageing by

assisting seniors to participate in the self-serve society preserving and enhancing independence and dignity through the application of innovative ICT-based solutions

Safety

Health

Social

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The BackHome project

FP7/2007-2013

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The Project BackHome is the first European research project

aimed at delivering the ambitious, but critical, step to bring BNCI systems to mainstream markets

The Objectives To study the transition from the

hospital to the home To learn how different BNCIs and

other assistive technologies work together

To reduce the cost and hassle of the transition from the hospital to the home

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Conclusions

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The proposed solution provides An no-intrusive sensor-based system installed at

user’s home An intelligent system that mines data to study

habits and quality-of-life of monitored users A web application for therapists and caregivers to

stay aware about the user status, condition, habits and quality-of-life

The overall system is part of the SAAPHO and BackHome EU projects

Closing Remarks

[email protected]