Cloud Service for Elderly Care Subject 4 Daily Activity Recognition for Elderly Care 傅立成 教授 郭斯彥 教授

Outline Introduction Technical Components Scenario 2

Objectives Three goals of cloud-based platform Integrate various resources of elderly care. Provide necessary care services and information to elders, care-givers and researchers. Provide extensible service provision interface to extend our service Extending other services by extensible service provision interface. 3

Technical Components Healthcare Platform Demo Inference Engine (5)Healthcare Platform Service (4)ADL Data Mining Platform 第三方服務：可為其他雲端服務或終端服務提供者等等 Inference Engine Improvement Cloud Database (3)Inference Engine Improvement ADL Data Mining Platform Cloud Middleware（Live E!、API） (2)Cloud Middleware Cloud Services Service Expansion Activity Recognition Weather (1)Data Collection 4

Data Collection （1/5） WSN User Feedback Activities of Daily Living Indoor Temperature, Humidity Outdoor Temperature, Humidity, Rainfall Heartbeat, Systolic, Diastolic User Feedback Excretion frequency Quality of sleep Pain index Activities of Daily Living Read Watch TV Prepare Food Drink Go out & Go home Sleep Clean 5

Cloud Middleware （2/5） Live E! protocol API for cloud data center Developed by The University of Tokyo IEEE 1888 API for cloud data center Design a highly reliable middleware to access cloud databases. The high flexibility feature of cloud facilitates dynamic adjustment of services and the receiving of useful information. Live E! Data Transfer Platform or sensor data Cloud Middleware Cloud Database 6

Inference Engine Improvement（3/5） Use self-developed cloud MREM algorithm to adapt home-side activity recognition model to context change dynamically. ADL Database (HBase) Cloud Collaborative Mode Mining Service Model Update Cloud Model Update Service Home Service Active Recognition Engine Activities Data MREM: MapReduce-Assisted EM 7

Inference Engine Adjustment（3/5） Use self-developed cloud MREM algorithm to adapt home-side activity recognition model to context change dynamically. ADL Database (HBase) Cloud Collaborative Mode Mining Service Model Update Cloud Model Update Service Home Service Active Recognition Adjustment Activities Data MREM: MapReduce-Assisted EM 8

ADL Data Mining Platform （4/5） Objectives Mine useful caring knowledge from collected data Serve as a readily accessible web service. Possible combining applications Chronic diseases alerting system Other possibilities. Properties: Large-scale MapReduce enabled data mining. Directly connection with the healthcare platform Mining result may directly return to the healthcare platform. Automatic medical advices generation. Other Cloud Database Data Mining Platform Households Cloud Middleware Other Information

Healthcare Platform Service (5/5) Provide current information body measurement, activity of daily living (ADL), and doctor prescription To elderly and their families, and medical institutes. Support Caring record for medical staff to better understand elderly people from long- term health status. Explore potential applicative possibility through caring records analysis Data mining related applications Enhance social involvement of elderly people through Facebook application Automatic sentence analysis and generation Elderly Information Caring Record Use Caring record to help medical personnel better understand the long-term health status of the elders Attention XML FaceBook 10

Healthcare Platform Service (5/5) Provide the latest information body measurement, activity of daily living (ADL), and doctor prescription Use Caring record to help medical personnel better understand the long-term health status of the elders Explore other applicative possibility through the use of the caring records Data mining related applications Use Facebook to enhance social activities of elderlies Automatic sentence analysis Elderly Information Caring Record Attention XML FaceBook 11

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