subject 4 daily activity recognition for elderly care cloud service for elderly care 傅立成...

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Subject 4 aily Activity Recognition for Elderly Car Cloud Service for Elderly Care 傅傅傅 傅傅 傅傅傅 傅傅

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Subject 4 Daily Activity Recognition for Elderly Care

Cloud Service for Elderly Care

傅立成 教授 郭斯彥 教授

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Outline

Introduction

Technical Components

Scenario

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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

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Technical Components

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(1)Data Collection

(2)Cloud Middleware

(3)Inference Engine

Improvement

(5)Healthcare Platform Service

Cloud Database

Cloud Middleware ( Live E! 、 API )

Healthcare Platform

Inference Engine Improvement

Activity Recognition Weather

Cloud Services

Service Expansion

ADL Data MiningPlatform

(4)ADL Data Mining

Platform

Demo

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Data Collection ( 1/5 )

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• WSN– 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

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Cloud Middleware ( 2/5 )

Cloud Database

Live E! Data Transfer Platform or sensor data

Cloud Middleware

• Live E! protocol–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.

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• Use self-developed cloud MREM algorithm to adapt home-side activity recognition model to context change dynamically.

Inference Engine Adjustment ( 3/5 )

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ADL Database(HBase)

Home Service

Active Recognition Adjustment

Activities Data

Model Update

MREM: MapReduce-Assisted EM

Cloud Collaborative Mode Mining Service

Cloud Model Update Service

• 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.

ADL Data Mining Platform ( 4/5 )

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Other

Cloud Database

Data Mining

Platform

Households

Cloud Middleware

Other Information

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Healthcare Platform Service (5/5)

FaceBook

Attention XML

Caring Record

Elderly Information

• 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

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Thanks for your attention