UIE HS’13 Midterm Topic Catalogue Basics HCI process (project lifecycle) Prototyping strategies Input fundamentals Buttons & Switches, interfacing them to host PC Building custom devices from basic input technologies Input devices such as mice, keyboards and their working principles o Variations in terms of construction and sensing principles Human Cognition and Perception Model Human Processor (Card et al.) o Perceptual, Cognitive and Motor processors 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 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 Issues and limitations of FTIR/DI based setups and potential remedies Issues and limitations of standard image processing pipeline Embedded Sensing 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 Electric Field Sensing 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 Tracking (Nearest neighbor method) Low pass filtering Kalman Filter o Working principles / fundamental ideas o State space model 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 Perceptual basics (regarding motion) 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
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