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Smart Textiles & Wearable Intelligence Anna Hristoskova 1st International Summer School on eCare , August 25 - 29, 2014, Ghent, Belgium. Home automation. Light/Temp/Hum sensor. Sensors/devices integrated into the environment Focus is on integration and standardized communication
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Smart Textiles & Wearable IntelligenceAnna Hristoskova1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home automation Light/Temp/Hum sensor • Sensors/devices integrated into the environment • Focus is on integration and standardized communication • Automation and monitoring of person activities Movement detection Sensor gateway RFID reader 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium Magnetic door sensor
Smart Textiles and Wearable Intelligence Mattress:- Can contain sensors/ actuators- Conductive wiring - Electronics + Data processing - Wireless communication - Powering - … Bedlinen:- Can contain sensors/ actuators- Conductive wiring - Electronics + Data processing - Wireless communication - Powering - … Environment:- Can contain sensors / actuators - Electronics + Data processing - Wireless communication - Powering - … Wardrobe:- Can contain sensors/ actuators - Electronics + Data processing - Wireless communication - Powering/Charging - … Garment:- Can contain sensors/ actuators- Conductive wiring - Electronics + Data processing - Wireless communication - Powering - … Smartphone:- Can contain sensors/ actuators- Electronics + Data processing - Wireless communication - Powering - … Bed:- Can contain sensors/ actuators - Electronics + Data processing - Wireless communication - Powering - … 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
SMARTpro – the project 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Vision Identify and address industrial needs and challenges w.r.t. the realization, integration and usability of smart textiles & wearable intelligence • Combine intelligentlyandefficientlytextiles, electronics and ICT Stimulate collaboration across ICT, electronics and textile sectors • Manufacturing on anindustrialscale • Reliableanddurable Build proof-of-concept demonstrators in target domains such as • Safety and intervention • (Home) care • Sport and leisure • Technical applications Involveend-users 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
SMARTpro – the project Home/care Textile sector Intervention Sports & leisure Technical CROSS SECTORIAL COOPERATION Textile Oct. 1st2013 - Oct. 1st 2017 Multi-disciplinary consortium of research partners with complementary expertise, coordinated by industrial research centers. A steering group of core industrial players is being established. ICT Electronics Electronics sector ICT-sector 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Approach to selected targeted & collective challenges • The aim is to find a critical mass in requirements + technological/manufacturing challenges that is as much as possible relevant for all member companies 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
SMARTpro Partner introduction 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Textiles - design • Design, development and prototyping of textiles products • Digital printing & coating, i.e., conductive inks • Production of electricallyconductiveyarns and fabrics • Integration of components in textiles through various confection techniques • Comfort • BodyScanning 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Textiles - Integration • Lab production of smart textiles components • Sensors for monitoring heart rate, respiration rate, sweat • Textile antenna, textiles batteries • Textiles for heating and electro-stimulation • Printing of conductiveinks • Conductiveyarns & coatings • Opticalfibres & LEDs • Fibretransistors 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Electronics - design • Prototyping following end-user specs • Definition of feasible integration prototypes • Identification of manufacturability and quality risks of prototypes • Analysis of the risk factors of electronics in textiles • Industrial available electronic component and PBA technology for the intended applications • Basic elements of design guidelines for integrating electronics into textiles 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Electronics - Integration Conductive yarns (acting as sensors) incombination with integrated readout electronics 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Textiles & Electronics 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Data Intelligence • Carried by humans or worn in/on the body as smart phones, heart rate meters, Google Glass or the Nike+ FuelBand • Sensors integrated into objects, such as textiles, toothbrushes, mattresses, mirrors, thermostats, doorways, steering wheels, … • Paradigm shift to wearable and embedded devices • Physiological measurements and daily habits • Context and surroundings • Allow to access and manipulate diverse information about humans • Lifestyle management for chronic illnesses such as diabetes • Emergency situation such as fire or flooding • Intelligent sensor-based applications enhance decision-making for professionals and individuals 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Data Intelligence • While hardware and software design remain important, capturing, processing and interpreting data becomes the main concern • The collection, modeling, and processing of large amounts of sensor data, • The extraction of knowledge from these data and • Its presentation to the end users • Data opportunities • Uncover hidden insights and infer additionalknowledge from data • Enable advanced visualization of trends and patterns • Reduce information overload and target proactive information delivery • Data challenges • Data integration from heterogeneous sources • Real time information processing and event recognition • Consider information from human behaviours and multi-modal interactions • Act on behalf of the users’ intentions 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Applications 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Interdisciplinary collaboration Challenges: Sensors, packaging and reliability Flexible and stretchable Substrates … other platforms • Electronics Challenges: Conductive yarns Interconnection with flexible and stretchable substrates Washable -> packaging Integration Integration in textile Technological building blocks • Textiles • ICT Monitoring, sensing, light Applications Challenges: Comfort Maintenance friendly Reliable 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
SmartPro project Scenarios 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home / care 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home/Care • Concept • continuous monitoring of the patient and his environment, at home and on-the-go • Target users • Elderly • Patients in rehabilitation phase after some medical intervention • Formal and informal caregivers • Objective • Provide personalised monitoring and remote care with the goal to • increase autonomy and quality of life • facilitate caregivers in providing optimal support on demand • Predict deteriorations of the patient’s state through • Stimulation and detection of movement and inactivity • Monitoring the evolution of important predictors (e.g. walking speed) 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home/CareDemonstrator Light/Temp/Hum sensor Environment/On-the-go: - With unobtrusive and subtle monitoring solution e.g. Position monitoring Movement detection Home - With unobtrusive and subtle monitoring solution Sensor gateway • Rooms: • Equipped with sensors/ actuators • Position monitoring system • ,,, Pressure sensor RFID reader • Person:-Elderly • - Patients in rehabilitation phase after some medical intervention • To be monitored • Information to formal and informal caregivers 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium Magnetic door sensor
Home/Care • Monitored parameters • Physiological • heart rate, body temperature, galvanic skin response, EMG • Activity • type (walking, biking, running, ...), distance, speed, steps, ... • Diet • fruit and vegetable intake, total calorie estimation, ... • Environment • temperature, noise, light, ... • Derived knowledge • Habits • sleeping, resting, eating, ... • Anomalies • elevated heart rate, abnormal wake-ups, too low intensity levels, ... • Patterns • causal relationships between activities and physical/mental condition 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home/Care • Use cases • Wander detection • recognize where a patient is located and whether or not he or she is supposed to be there or feels lost • Fall detection - recognize if a patient made a fall. • Monitoring evolution of important predictors (e.g. walking speed) for fall prevention for elderly • Activity monitoring • recognize whether or not a patient is acting according to his or her normal habits • Physiological state • monitor the patient’s health state, create a long term profile and track possible deteriorations 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Intervention 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Intervention • Concept • monitoring target users’ status, environment and behavior • Target users • Team of emergency workers (e.g. firefighters, police, ...) • Coordinated by a commander • On-site stewards • Evacuees • Objective • increase situationalawareness and support decision making in case of an incident • Controlling the incident and get back to normal as soon as possible • Ensuring safe and efficient evacuation of the building(s) and site 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
InterventionDemonstrator Environment:- With monitoring solutione.g. temperature, fire, dangerous goods Smartphone:- With monitoring solution e.g. location Garment:- unobtrusive reliable monitoring e.g. temperature, oxygen levels, heart rate, stress 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
InterventionDemonstrator Fire fighters On-sleeve computation Commander tabletremote overview Server inside fire truck Crisis team web-based generalized overview 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Intervention • Monitored parameters • Physiological • heart rate, body temperature, galvanic skin response, blood oxygen level • Environment • indoor/outdoor location, people movement, temperature, noise & lighting levels, traffic information, presence and location of dangerous goods • Resources • oxygen bottles, firearms, mobile devices, GSM/WiFiinfrastructure • Derived knowledge • Stress & fatigue, overcrowding of emergency exits, panic reactions, ... 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Sports & leisure 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Sports & leisure • Concept • monitoring athletes during races, training and everyday life • Target users • Athletes • Coach/personal trainer • Science lab personnel • Objective • Provide personalised and actionable insights beyond mere tracking and visualisation • No average human, different individuals have different needs and respond differently • Knowing in retrospect that you slept bad is not so useful, knowing what you can/should (not) do upfront in order to sleep well is more important • Improve performance and prevent injuries • Monitor correct execution of exercises, adherence to prescribed plan, intensity levels, recovery & sleep, muscle imbalances, ... • Detected anomalies • high resting HR, abnormal sleep patterns, failure to meet intensity levels, incorrect posture • Provide feedback on potential causes • cafeineintake, insufficient time between exercise, too high training volume, too high/low intensity level, .. • Predict future evolution 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Sports & leisureDemonstrator Garment:- Unobtrusive monitoring of performance e.g. heart rate, fatigue Environment/On-the-go:- With unobtrusive and subtle monitoring solutione.g. aerodynamic posture during time trials 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Sports & leisure • Monitored parameters • Physiological • heart rate, body temperature, galvanic skin response, EMG • Activity • distance, speed, steps, cadence, movement, rest, altitude, geographic locations • Environment • weather, noise, light • Derived knowledge • Habits • sleeping, resting, eating, travelling • Anomalies • elevated heart rate, abnormal wake-ups, too high/low intensity levels, tactics • Patterns • causal relationships between activities and anomalies 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Sports & leisure • Example use cases • Real-time analysis of • aerodynamic posture during time trials, in order to provide immediate corrective feedback • fatigue and stress during game, in order to recommend substitutions • Analysis of lifestyle outside training in the build-up phase towards a big event, • guarantee optimal recovery and to appropriately tune training schedules • Monitoring of correct execution of exercises and adherence to prescribed plans • speed up rehabilitation and prevent injuries 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technical 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technical • Concept • Indoor • intelligent flooring/wall/car interior • Outdoor • monitoring critical infrastructure • Target users • Large area structures for interior use • carpets, curtains, mattress covers • Outdoor structures • geotextiles, tents, sunscreens • Transport & Logistics • automotive, packaging • Objective(s) • Outdoor • improve safety by hazard & structural health monitoring of constructions • Indoor • safety & prevention, fall and inactivity detection or prevention of inhabitants • Integration of new features, e.g. lighting, heating, cooling, energy scavenging 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
TechnicalVirtual demonstrator Large textile structure:- Unobtrusive monitoring of activities and state e.g.fall detection, structural health monitoring 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technical • Monitored parameters • Environment • weather (ex. wind, precipitation), moisture, pressure, temperature • Activity • Outdoor • safety, data for structural health monitoring, capture structural response to extreme events (e.g. earthquake, storm), speed of degradation, energy applications (flexible solar cells) • Indoor • safety, lighting (LED, OLED, optical fibers integration), heating or sensor applications, location • Derived knowledge • Durability and safety limits of outdoor structures and constructions • Indoor • Support for the other cases 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technical • Example use cases • Monitoring of wind/snow stress on tent construction • Monitoring evolution of important predictors (e.g. walking speed, sleep quality) for fall prevention for elderly • Monitoring crowded indoor events in case of crowd, control, intervention during emergency 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
SMARTpro project Data Intelligence 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technological challenges Intelligent data processing Unobrusive monitoring Electronics into textile Emergency/Intervention Sport & leisure Textile as carrier for electronics (Home) care Technical Data fusion & mining 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Intelligent data processing – challenges • Capture, store and fuse large amounts of data obtained from continuously monitoring people and their environment • physiological as well as non-physiological measurements • context and surroundings • Identify trends in order to construct user profiles • typical amount of sleep, most active periods of day/week, frequently visited POIs with typical visiting times, heart rate zones, resting heart rate, muscle activitation, ... • Explore methods to build prediction models • estimated recovery period, overtraining, evolution in walking speed, predicted energy consumption for weight loss, physiological evolution, ... • Detect anomalies in real-time • geo-fencing, fall detection, abnormal inactivity, increased stress level, ... 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Intelligent data processing – needs • Historical data • for training robust models that can predict the future based on the past • Sufficient & suitable data • not necessarily ‘big’ but naturally ‘relevant’ w.r.t. requirements • Reliable data • reduced level of noise • appropriate frequency • standardized format • End user requirements • Lacking knowledge of the application domain and end-user needs, even the most intelligent algorithms are useless 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Context modelling method Observations • Context definition by domain experts • Field studies execution • Mental models creation • Scenario description • Co-creation workshops • Goal-directed task analysis • Formal translation into an ontology & rules by ontology engineers in collaboration with domain experts • long track record of developing ICT solutions for specific domain • accurate and complete reflection of the daily work practices • Deployment of the architecture by domain experts • Processing of usability feedback Software Engineer User researchers Co-creation workshops Scenarios Domain experts 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Formal domain definitionsupportedbysemantics • Common vocabularyand a sharedunderstanding of the structureof the information • Support communication • Explicit domain description of • Concepts • Properties and Attributes of concepts • Constraints on properties and attributes • Individuals • Rules to express general workflows& intelligent behavior • Enable reuseof domain knowledge • Introduce standards allowing interoperability • Captureknowledgeformally • Reasoningandextraction of newknowledge Domain concepts Rule set 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Interpretation & decision support Interpretation Domain concepts Recovery in a week The fluISCurable Disease Stay at home Treatment: Stay at home Rest Antiviral medications Antibitiotics has_symptom * Symptom Curable Disease == Disease AND has_treatment.Treatment IFnight → close the blinds AND dim the lights Is a Decision support Fever Disease Temp Treatment has_treatment * Rule set Antibiotics 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Data processing steps • Pre-processing and cleaning of the sensor and device data • Collect distributed heterogeneous data from various devices and sensors • Clean up the data • Remove faulty measurements • Aggregation of several data measurements from various sources • Averages of measurements • Combination of multiple data points • Interpretation of the situation based on the gathered data • Interpret on the exact meaning of the data • Evaluate the user’s context • Decision support based on the user context • Depending on the interpretation, the person’s situation can be inferred and decision taken on which type of actions should be taken • Triggering of actions depending on the situation • User profiling • Alarms • Predictions • Recommendations Electronics layer 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Home/Care: data processing • Interpret sensor data ... • recognises a person is wearing the textile (based on temp. data), where he or she is (based on localisation data) and whathe or she is doing (based on activity data) • ... and turn it into knowledge • identifies patterns & trends • sleep/awake pattern • typical POIs and visiting times • walking speed/steps per day • health state • identifies anomalies/deteriorations • abnormal sleeping behaviour (e.g. during the day) • geo-fencing • moving from more active to more passive lifestyle (e.g. prolonged sitting instead of walking) 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Technological challenges VakgroepTextielkunde 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium
Anna Hristoskova Questions? 1st International Summer School on eCare, August 25 - 29, 2014, Ghent, Belgium