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LCC, MIERSI SM 14/15 – T6 Sensing Technology Miguel Tavares Coimbra
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References Slides from Edward A. Lee & Sanjit Seshia, UC Berkeley, EECS 149 Fall 2013 –Copyright © 2008-date, Edward A. Lee & SanjitA. Seshia, All rights reserved Pedro Brandão, Sistemas Embutidos, DCC/FCUP –https://moodle.up.pt/course/view.php?id=3162 SM 14/15 – T5 – Sensing Technology
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Reality SM 14/15 – T5 – Sensing Technology
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Quantifying Reality Rain Ball Speed Stress Fatigue Heart Rate Emotions Muscle strength Wind Body posture SM 14/15 – T5 – Sensing Technology
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Into a Digital World
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I want to transform real variables into digital ones Real-time, unobtrusively, in real situations, for long periods of time, with very high accuracy
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Cyber-Physical Systems SM 14/15 – T5 – Sensing Technology
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(More) Pieces of the Puzzle Input –Reality (cameras, microphones, sensors, mocap, controllers,…) –Synthetic (computer graphics, sound synthesis,…) Processing –Digital, Analogue –Transform data, generate new data Output –Video, audio, actuators SM 14/15 – T5 – Sensing Technology Just a bit…
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SM 14/15 – T5 – Sensing Technology
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Sensor Components
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SM 14/15 – T5 – Sensing Technology
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CCD (charge coupled device) Higher dynamic range High uniformity Lower noise CMOS (complementary metal Oxide semiconductor) Lower voltage Higher speed Lower system complexity Light Sensors Convert light into an electric charge SM 14/15 – T5 – Sensing Technology
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Environmental Sensors –Temperature –Humidity –Air quality SM 14/15 – T5 – Sensing Technology
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Case Study: UrbanSense @ Porto SM 14/15 – T5 – Sensing Technology
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Case Study: UrbanSense @ Porto SM 14/15 – T5 – Sensing Technology
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Wearable Sensors
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Erik Topol, 2009 SM 14/15 – T5 – Sensing Technology
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Case Study: Vital Responder Monitoring Stress Among First Responder Professionals SM 14/15 – T5 – Sensing Technology
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Electrocardiogram
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SM 14/15 – T5 – Sensing Technology Electrocardiogram
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SM 14/15 – T5 – Sensing Technology RR Variability
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SM 14/15 – T5 – Sensing Technology EEG https://www.youtube.com/watch?t=55&v=T7CiiWBwMgw
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EMG SM 14/15 – T5 – Sensing Technology Wearable EMG Very Famous Person
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Smartphone Sensing Samsung S4 Accelerometer Gyroscope Light Magnetic Field Atmospheric Pressure Proximity Temperature Humidity Sound Levels GPS SM 14/15 – T5 – Sensing Technology
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Smartwatch Sensing SM 14/15 – T5 – Sensing Technology
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Some fundamental concepts
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SM 14/15 – T5 – Sensing Technology
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Analog to Digital SM 14/15 – T5 – Sensing Technology
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Sampling Continuous signal: Shah function (Impulse train): Sampled function:
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SM 14/15 – T5 – Sensing Technology Aliasing Picket fence receding into the distance will produce aliasing… Input signal: x = 0:.05:5; imagesc(sin((2.^x).*x)) Matlab output: WHY? Sampling frequency must be greater than
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SM 14/15 – T5 – Sensing Technology Quantization G - number of levels m – storage bits Round each value to its nearest level
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SM 14/15 – T5 – Sensing Technology Noise Noise is a distortion of the measured signal Every physical system has noise Various strategies: –Better sensors –Digital Filters –Restoration models
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SM 14/15 – T5 – Sensing Technology Processing Signal Processing –Analysis, interpretation, transformation of a signal Example –In order to measure temperature I ‘process’ the length of a volume of mercury I am processing a signal
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So what do I do with all this? You do cool stuff of course…
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SM 14/15 – T5 – Sensing Technology Videogames that change with your heart signals
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SM 14/15 – T5 – Sensing Technology Sounds controlled by gestures
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EEG Generated Art SM 14/15 – T5 – Sensing Technology
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Dating using GPS trajectories
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SM 14/15 – T5 – Sensing Technology Use CG to replay the coolest goal from your football match
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Get Creative SM 14/15 – T5 – Sensing Technology
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What will you quantify? Rain Ball Speed Stress Fatigue Heart Rate Emotions Muscle strength Wind Body posture SM 14/15 – T5 – Sensing Technology
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