Intelligent Environments
Computer Science and Engineering
University of Texas at Arlington
Intelligent Environments
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Sensors
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Quantities to be sensed
Sensor types
Sensor characteristics
Sensor installation
Sensor interfacing and control
Smart floor
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Quantities to be Sensed
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Strain and pressure
Position, direction, distance and motion
Light and radiation
Temperature
Sound
Intelligent Environments
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Quantities to be Sensed
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Solids, liquids and gases
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Moisture (humidity)
Flow
Liquid acidity/alkalinity
Air and water quality
Smoke
Intelligent Environments
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Sensor Types
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Strain and pressure
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Load
Pressure
Applications
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Floors, doors, windows
Scales
Intelligent Environments
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Sensor Types
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Position, direction, distance and motion
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Accelerometer
Motion
Applications
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Security
Locator, tracking
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Sensor Types
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Light, radiation and temperature
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Low-profile ceiling camera
Wireless camera
Light
Radiation
Temperature
Applications
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Security, location, tracking
Health safety
Energy efficiency
Intelligent Environments
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Sensor Types
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Sound
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Wireless microphone
Applications
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Security
Volume control
Speech recognition
Intelligent Environments
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Sensor Types
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Solids, liquids and gases
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Humidity
Rain
Carbon dioxide
pH
Flow
Applications
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Pool maintenance
Sprinkler efficiency
Security and health monitoring
Intelligent Environments
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Sensor Characteristics
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Operating temperature
Thermal sensitivity
Non-linearity and hysteresis
Excitation voltage and impedance
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Current and power
Noise
Example: load sensor
Example: motion sensor
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Sensor Installation
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Placement
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Environment
Interference
Aesthetics
Power
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120VAC, wired DC, battery, solar
Combined with data lines (CAT5)
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Sensor Interfacing and Control
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Interfacing
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Wireless (50MHz, 900MHz, 2.4GHz, …)
Serial (9/25 wire), CAT5 (8 wire), phone (4 wire)
Coax, fiber optic
Bus (networking)
Control
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Identification
Calibration
Parameter settings
“Smart” features
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Application: Smart Floor
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Orr and Abowd, “The Smart Floor,” Georgia Tech
Identify users based on their footsteps
Not intended to be a standalone system
Load sensors
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10-15 Vdc excitation voltage
2.2 mV output per volt of excitation
Sampled 300 times per second
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Application: Smart Floor
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Footstep described by 10 features
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Profile mean, deviation, length, area, maximum
and minimum
Nearest neighbor for classification
Results seem independent of footwear
93% recognition rate
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My SmartHome
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Floor plan
Landscaping
Materials
Sensors
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Placement, power, interfacing
Reconfigurable
Networking
Overall smart architecture
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My SmartHome
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My SmartHome
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Sensors
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Bedrooms
Bathrooms
Kitchen
Family room
Garage
Doors and windows
Floors, walls, roof
Utility (HVAC, water heater, washer/dryer)
Yard
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