INTELLIGENT
LIVING
ENVIRONMENT
The project was in cooperation with Interzorg and was about the use of sensor systems, we were to create a flexible living environment for a Hopranknursing home in Peize. The goal of this system was to create a more autonomous and flexible environment for the clients at the nursing home in Peize, whilst retaining the utmost safety and care for these clients
Technology to Create Minor
Group Member
Nanne APJ Kuperus
Ties Wertheim Salomonson
Guan-Ying Chen
Joona Kirves
Final Report Download
Promotion Film
Introduction
Our research was followed by the Ullman design method and we started from the product discovery phase to the product support phase.
In the problem definition phase and the conceptual design phase, we developed most of our research of design by using several models of the different research design methods to define the needs of clients and create the specification for our product.
During the whole project process, I put more effort into research design(chapter3 in the final report) because of my background and focused on developing the fall detection system.
Project Planning
Product discovery
Project Planning
Conceptual Design
Product Development
Product Support
Customer inputs / desires
Customer
Interzorg (Nursing home company in the north Netherlands)
○ Handicapped, impaired, and senior citizens
○ Mental disorder / disability
○ Clients are not able to function independently
Inputs/Desire
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Currently, lack of safety prevents independent participation in activities
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Solution/system to create comfort and autonomy whilst maintaining safety
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Reduce workload for staff
Project Definition
Research question:
How can we provide a flexible infrastructure in a nursing home that will make all the clients have more autonomy and stimulate mobility safely and robustly?
Research subquestion:
1.How do the target groups experience freedom?
2.How can mobility be stimulated/facilitated through the technological solutions
Research Outcomes: Leading Developments
Employing a monitoring service allows us to supervise the movement and wellbeing of the clients, whilst retaining safety
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A positioning service can be employed to track the movement of the client
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Location system requires indoor and outdoor components
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Position information needs to be transmitted back
Remote monitoring of health parameters keeps the client healthy
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Various health parameters can be chosen to be monitored
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Intervention before the client becomes severely wounded
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Monitoring heart parameters can alert staff to heart conditions/seizures
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Temperature can be audited to check for developing illnesses
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Proposed system overview
Fall detection and Positioning system in client device
Raspberry Pi 3 with LORA HAT
connected
Arduino Uno
Fall detection
Node
Node create wifi-based location service for the client(device) indoors; for outdoor use GPS
Server node: Captures data and transmits commands back to user devices
Location node#1: Raspberry Pi3 as wifi access spot serves as a location beacon
Location node#2
Location node#3
Device
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Arduino Uno board
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MPU-9250 breakout board
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Accelerometer, Gyroscope, Magnetometer
3. Power switch, 2 LEDs
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One led indicates fall detected, the other on / off-state of the device
4. 9-volt battery
Implemented Arduino code
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One vector value calculated from all the 3 axes of acceleration (Pythagoras sentence)
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Two threshold values for acceleration, lower and higher
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Both need to be crossed to trigger the fall
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Orientation change from the gyroscope
Future improvement
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More testing needed to improve the accuracy
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Further refinement of the threshold values to make them more reliable and accurate
2. Increasing the significance of the magnetometer into the system
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Would greatly improve the number of false negatives and false positives
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At the moment the magnetometer does not exert a large input on the system
3. Size of the device
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ArduinoMini/Micro
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Sensors pluggedintoRaspberryPi that is already in use for the positioning
Positioning system :proposed indoor component
Proposed system based on time measurement
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The system based on GPS; the message sent contains timestamp and location
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Signal sent by node, with timestamp and location T14:31:19:04__L005:010:004
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Signal received by the client device (smartwatch) at T14:31:20:16
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The difference in time and constant speed of signal yields distance (= speed * time)
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Triangulation (Pythagoras) to find the location in 3D space; based on node locations and centrally selected origin (euclidean grid representation)
Proposition for the future
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Price reduction of the system by using specifically designed hard and software rather than off the shelf prototyping equipment
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Also yields benefits such as smaller size and the potential increase in accuracy/ resolution of sensors
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Additional sensor(systems) to be added to increase information profile for each client
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Increased accuracy in illness prevention detection
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Beneficial to autonomy and quality of life of clients
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Augmentationof (Navstar) GPS basedpositioning byuseof Galileo(EU) GPS (interoperable); increasein accuracydown to~ 1 meter
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Operational in ~ November 2019
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