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1 Chapter 16 Assistive Environments for Individuals with Special Needs
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2 The Problem Decline in vision, hearing, cognition, mobility Chronic conditions - arthritis, heart, blood pressure, Alzheimer's Desire to remain independent Need for cost-effective ways to provide assistance, allow self-care, higher quality of life
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3 Assistive Devices Wheelchairs, walkers, bath seats, magnifiers Mechanical Voice I/O, call buttons, power furniture Limited capability - require direct interaction Smart Environment Assistive Environment
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4 Assistive Environment Requires context awareness Requires sensing Minimize human attention Assistance for everyday tasks Proactive
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5 Monitoring Capabilities - Current & Emerging - Monitor house Security, temperature - current Appliances (on/off), lights, detect leaks, deliveries Monitor person's health Physiological data - temperature, blood pressure, changes vs. trends Taking of medication, order refills Reminders: time to eat
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6 Monitoring Capabilities #2 Monitor independence or self-care related needs Monitor Identify need for home health care visit Support self interventions Provide information and training Monitor activities, movements, behavior Detects fall, injury Normal activity - out of bed, open refrigerator
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7 A day in the life of 87-year old Mrs. Smith in her new Smart Home Pages 364-366
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8 Matilda - Smart House National Institute on Disability & Rehabilitation Research Rehabilitation Engineering Research Center (RERC) Hosted by University of Florida Pervasive Computer Lab Actually lab mock-up See photos, pages 367-369
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9 Matilda Instrumentation 500 ft 2 : bedroom, bath, den, kitchen Gator-Tech Smart House being built in Gainesville, FL retirement community 4 ultrasonic receivers 4 flat-panel monitors - one on each wall Smart phone, floor sensor, water leak sensor, RFID tags, x-10 controlled devices, network Robot - Matilda: beacons on shoulder On remote control car
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10 Location System Positioning: users receive information from environment & calculate position; provides privacy Tracking: central computer keeps track of users position Used for home; privacy not issue Low Frequency RF Sensor: locates with 3m; not accurate enough for home Infrared: less accurate; sunlight interferes * Ultrasonic: accuracy within 3cm 95% of time Disadvantages can be overcome with planning
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11 Middleware Services Developed Generic Services to support rapid application development Automated/scheduled task service Triggered tasks - time or sensor or condition Simple rule language Voice recognition Camera vision - tracks objects Event broker - delivers application specific event when conditions met
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12 Generic Services #2 Location service provides location of Matilda or objects Space sensing - monitors movement & placement of objects Persistent Storage - stores streaming sensor data for analysus, etc. Web service - access to Internet Online food ordering * Combine these to build necessary applications
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13 Sample Applications Remote Monitoring Monitors Matilda's location; remote requests by users are answered Mobile Patient Care - Giving Assistance (MPCA) If a task needs to be performed; increasing attention getting actions are performed; beep, message on monitor, voice reminder General Reminder System (GRS) Reminders for everyday tasks Can send to phone
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14 Sample Applications #2 Augmented Awareness System (AAS) Notify when events happen Mail delivered, person at door Automate some tasks with voice Windows, doors, applicances Smartwave Intelligent Cooking System Package label ready by RFID reader Cooks automatically
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15 Other Elder-Care Systems Tonsberg, Norway, 1998 - 8 smart flats for older folks with dementia Detectors for fire, falls, door/light controls, etc. Elite Care's Oatfield Estates - Stanford, 2002 Extended family residence complex IR/RF tags (for key) Weight sensing bed; vital sign sensors Several others with various features
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16 Conclusion Technology provides many avenues for assistive environments
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