UIE HS`13 Midterm Topic Catalogue Basics Input fundamentals

UIE HS’13 Midterm Topic Catalogue
Basics
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HCI process (project lifecycle)
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Prototyping strategies
Input fundamentals
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Buttons & Switches, interfacing them to host PC
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Building custom devices from basic input technologies
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Input devices such as mice, keyboards and their working principles
o
Variations in terms of construction and sensing principles
Human Cognition and Perception
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Model Human Processor (Card et al.)
o
Perceptual, Cognitive and Motor processors
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Concepts and processing times, capacities etc.
o
Models and functions of human memory
o
Application of the model to interface design and evaluation
Fitts’ Law (Fitts 1954)
o
Equation and interpretation
o
Alternative formulations by Shannon and differences to original formulation
o
Implications of Fitts law for interface design and evaluation
Vision based interactive Surfaces
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Sensing principles (FTIR, DI, etc)
o
Snell’s Law
o
Lambertian scatterers
Image processing pipeline
o
Camera calibration
o
Preprocessing
o
Image processing techniques / steps
o
Connect Components Analysis
o
Union/Find
o
Image Moments
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Issues and limitations of FTIR/DI based setups and potential remedies
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Issues and limitations of standard image processing pipeline
Embedded Sensing
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Basic understanding of working principles of:
o
ThinSight / Pixel Sense
o
SAW
Resistive Sensing
o
Sensing principle / sensor construction
o

4-, 5-, 8-wire constructions
Capacitive Sensing
o
Capacitance
o
Measuring capacitance
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Electric Field Sensing
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Capacitive Touchscreen
o

Capacitive coupling effects and their implications for sensing
o
Sensing principle / sensor construction
o
Self-capacitance sensing
o
Mutual-capacitance sensing
Advantages / Disadvantages of different approaches
Tracking & Filtering
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Tracking (Nearest neighbor method)
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Low pass filtering
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Kalman Filter
o
Working principles / fundamental ideas
o
State space model
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Concept

Formulation (Equation and intuition behind important matrices)
o
Time update (prediction) procedure (Exact equations not required)
o
Measurement update (correction) procedure (Exact equations not required)
o
Applications in filtering and tracking
Motion Analysis / Optical Flow
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Perceptual basics (regarding motion)
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Optical Flow
o
Definition
o
Three basic assumptions
o
Optical flow equation
o
Aperture problem
o
Local methods
o
Global methods
o
Coarse-to-fine
o
Usage for input sensing