Dance Movement Patterns Recognition (Part II)
|
|
- Branden Hall
- 5 years ago
- Views:
Transcription
1 Dance Movement Patterns Recognition (Part II) Jesús Sánchez Morales
2 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 2/32
3 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 3/32
4 Goals Recognizing simple user s s movements Recognizing complex patterns Auto generation of reference patterns Pattern searching during the dance without any reference 4/32
5 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 5/32
6 Hidden Markov Model (HMM) Highly used in Speech Recognition We adapted it for our problem Data sequences to analyze Stop move 1 move 2 stop HMM graphs for each recognition Viterbi s algorithm Initial State x1% x2% x3% State 1 (1-x2)% State 2 (1-x3)% Final State x5% (1-x1)% State 3 (1-x4)% (1-x5)% x4% 6/32
7 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 7/32
8 Recognizing Simple Steps What we understand as being a simple step? Right, left, down, up, jump and twister How we divided these recognitions Horizontal Vertical Twister 8/32
9 Recognizing simple steps (Horizontal) Recognized steps Left step Right step Used data Horizonal variation of the centre of mass between frames User radius 9/32
10 Recognizing simple steps (Horizontal) Building a sequence and launching a thread Markov graph 10/32
11 Recognizing simple steps (Vertical) Recognized steps Up Down Jump Used data Vertical position of the centre of mass Vertical average position of the centre of mass User radius 11/32
12 Recognizing simple steps (Vertical) Building a sequence and launching a thread Markov graph 12/32
13 Recognizing simple steps (Twister) Recognized steps Twister Used data User radius Average radius Horizontal and vertical position of the centre of mass. 13/32
14 Recognizing simple steps (Twister) Building a sequence and launching a thread Markov graph 14/32
15 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 15/32
16 Recognizing Complex Patterns What we understand as being complex pattern? Combinations of simple steps Left Step + Right Step + Left Step + Jump + Twister + + What we receive from the simple step recognition Step code Duration Step time Code: 11 Left Step Duration: 3 frames Time: second 54 16/32
17 Recognizing Complex Patterns Building a sequence and launching a thread Markov Graph. 17/32
18 Contents Goals HMM To Recognize Simple Steps To Recognize Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 18/32
19 Auto Generation of Complex Patterns Graphs Easy way of building graphs for complex patterns recognition Included in the pattern recognition Saved as a text file 19/32
20 Auto Generation of Complex Patterns Graphs We receive the sequence of simple steps We build the graph for the recognition 20/32
21 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 21/32
22 Test setup Test Bench Good external conditions Real time tests steps Possible results for each test Well detected Wrong detected Not detected 22/32
23 Test organization Test Bench Horizontal recognition Vertical recognition Twister recognition Complex pattern recognition 23/32
24 Test Bench (Horizontal recognition) High success rate No wrong detections In case of fast dance some steps get lost Individual steps Various steps (slow) Various steps (fast) 0,00% 0,00% 0,00% 0,00% 19,23% 0,00% 80,77% 100,00% 100,00% Well detected No detected Wrong detected 24/32
25 Test Bench (Vertical recognition) Very good individual step recognition Slow dance tests: some recognition problems Fast dance tests: recognition performance decreases Individual steps Various steps (slow) Various steps (fast) 12,50% 15,38% 18,18% 6,25% 0,00% 30,77% 81,82% 81,25% 53,85% Well detected No detected Wrong detected 25/32
26 Test Bench (Twister recognition) High recognition performance for steps separately taken Slow dance tests: start having major detection problems Fast dance tests: many steps are mixed Individual steps Various steps (slow) Various steps (fast) 16,67% 0,00% 16,67% 14,29% 16,67% 28,57% 83,33% 66,67% 57,14% Well detected No detected Wrong detected 26/32
27 Test Bench (Complex pattern) Perfect recognition performance for steps separately taken No concrete pattern to analyze Inherit problems Wrong simple step recognition Too slow simple step recognition Wrong received order 27/32
28 Contents Goals HMM Recognizing Simple Steps Recognizing Complex Patterns Auto Generation of Complex Patterns Graphs Test Bench Conclusions 28/32
29 Conclusions (Difficulties encountered) Clothe variations Unknown frame rate Similarities in the vertical movements User radius variation due to arms movements Failed complex pattern recognition due to wrong order in simple movements recognition 29/32
30 Conclusions (Possible improvements) Visual detection Use of the data from the dance dance revolution pad Relating the beat detector with the user recognized steps Detection of other simple movements Development of a learning algorithm to improve the HMM graphs 30/32
31 Conclusions (Reached goals) We have found a good technique to recognize body movements In some cases the results have not been as good as we hoped but we think that can be improved This technique is also valid to detect more complex patterns We easily generate complex pattern graphs It has not been possible to search patterns without reference 31/32
32 Thank you very much! 32/32
Mobile Wireless Channel Dispersion State Model
Mobile Wireless Channel Dispersion State Model Enabling Cognitive Processing Situational Awareness Kenneth D. Brown Ph.D. Candidate EECS University of Kansas kenneth.brown@jhuapl.edu Dr. Glenn Prescott
More information18600 Angular Momentum
18600 Angular Momentum Experiment 1 - Collisions Involving Rotation Setup: Place the kit contents on a laboratory bench or table. Refer to Figure 1, Section A. Tip the angular momentum apparatus base on
More informationResearch Seminar. Stefano CARRINO fr.ch
Research Seminar Stefano CARRINO stefano.carrino@hefr.ch http://aramis.project.eia- fr.ch 26.03.2010 - based interaction Characterization Recognition Typical approach Design challenges, advantages, drawbacks
More informationStructured Programming Using Procedural Languages INSS Spring 2018
Structured Programming Using Procedural Languages INSS 225.101 - Spring 2018 Project #3 (Individual) For your third project, you are going to write a program like what you did for Project 2. You are going
More informationHMM-based Error Recovery of Dance Step Selection for Dance Partner Robot
27 IEEE International Conference on Robotics and Automation Roma, Italy, 1-14 April 27 ThA4.3 HMM-based Error Recovery of Dance Step Selection for Dance Partner Robot Takahiro Takeda, Yasuhisa Hirata,
More informationAnnouncements. Today. Speech and Language. State Path Trellis. HMMs: MLE Queries. Introduction to Artificial Intelligence. V22.
Introduction to Artificial Intelligence Announcements V22.0472-001 Fall 2009 Lecture 19: Speech Recognition & Viterbi Decoding Rob Fergus Dept of Computer Science, Courant Institute, NYU Slides from John
More informationShaftesbury Park Primary School. Wandsworth test examples
Shaftesbury Park Primary School Wandsworth test examples Non-verbal reasoning Non-verbal reasoning is problem-solving based around pictures, diagrams and shapes, rather than words. Unlike verbal reasoning,
More informationIn this lesson, you will learn:
In this lesson, you will learn: The concept of perspective How perspective creates depth Vanishing points, horizon lines How to draw in 1 point perspective How to use perspective to draw almost anything
More informationAutomating Track Inspection through the use of Automatic Machine Vision Systems
Presented by: Russell E. Taylor President & CEO MERMEC, Inc. September 1, 2010 Automating Track Inspection through the use of Automatic Machine Vision Systems SBB Lotschberg Case Study The Lötschberg Base
More informationReal time noise-speech discrimination in time domain for speech recognition application
University of Malaya From the SelectedWorks of Mokhtar Norrima January 4, 2011 Real time noise-speech discrimination in time domain for speech recognition application Norrima Mokhtar, University of Malaya
More informationCOTTON+ STEEL PATTERN NO A DIVISION OF RJR FABRICS. 45 x56 COTTONANDSTEELFABRICS.COM
COLLECTION PATTERN NAME PATTERN DESIGNER FABRIC DESIGNER RAINDROP RAINDROP QUILT RASHIDA COLEMAN-HALE RASHIDA COLEMAN-HALE 45 x56 FABRIC REQUIREMENTS AND CUTTING LIST: and 1941-1 following the and 1944-22
More information1. Which set of events are caused by the following action? (Use the code above to help you answer the question.)
1. Which set of events are caused by the following action? (Use the code above to help you answer the question.) A. B. C. D. 2. Which set of events are caused by the following action? (Use the code above
More informationAncestral Recombination Graphs
Ancestral Recombination Graphs Ancestral relationships among a sample of recombining sequences usually cannot be accurately described by just a single genealogy. Linked sites will have similar, but not
More informationService Robots in an Intelligent House
Service Robots in an Intelligent House Jesus Savage Bio-Robotics Laboratory biorobotics.fi-p.unam.mx School of Engineering Autonomous National University of Mexico UNAM 2017 OUTLINE Introduction A System
More information2.3 BUILDING THE PERFECT SQUARE
16 2.3 BUILDING THE PERFECT SQUARE A Develop Understanding Task Quadratic)Quilts Optimahasaquiltshopwhereshesellsmanycolorfulquiltblocksforpeoplewhowant tomaketheirownquilts.shehasquiltdesignsthataremadesothattheycanbesized
More informationIndex. Page (s) 1 4. Features
Instruction Manual Index Features Page (s) 1 4 LCD Monitor Load Design USB & USB Disk Drive Design Rotation/Scaling Thread Break Detect Work Sequence Frame protection Auto Origin Return Idle (Float) Mode
More informationInformation Extraction. CS6200 Information Retrieval (and a sort of advertisement for NLP in the spring)
Information Extraction CS6200 Information Retrieval (and a sort of advertisement for NLP in the spring) 1 Informa(on Extrac(on Automa(cally extract structure from text annotate document using tags to iden(fy
More informationModule 2. Milling calculations, coordinates and program preparing. 1 Pepared By: Tareq Al Sawafta
Module 2 Milling calculations, coordinates and program preparing 1 Module Objectives: 1. Calculate the cutting speed, feed rate and depth of cut 2. Recognize coordinate 3. Differentiate between Cartesian
More informationA new test bench for examinations of the pantograph-catenary interaction
A new test bench for examinations of the pantograph-catenary interaction Authors: Johann Deml, Dr.-Ing. Wilhelm Baldauf Deutsche Bahn AG, Research and Technology Centre (FTZ), Munich Summary For reaching
More informationPart of Speech Tagging & Hidden Markov Models (Part 1) Mitch Marcus CIS 421/521
Part of Speech Tagging & Hidden Markov Models (Part 1) Mitch Marcus CIS 421/521 NLP Task I Determining Part of Speech Tags Given a text, assign each token its correct part of speech (POS) tag, given its
More informationInstruction Sheet 2 mm Common Termination (CT) Head Assembly
Instruction Sheet 2 mm Common Termination (CT) 408-9426 Head Assembly 58372-1 05 MAY 14 Wire Inserter (Shown In Up Position) Carriage Drag Wire Guide Feed Pawl (Portion of Head Assembly Shown Cut Away
More informationProduct Introduction:
Product Introduction: ARKBIRD-433UHF is a 10-channel module designed for long-distance flight: 1. The advanced code division frequency hopping system (FHSS) produces the only way of frequency hopping sequence
More informationHorizon Memory Craft Quilt Maker New Owner Lesson
Ordinary Sewing Session: MC15000 Quilt Maker Embroidery Unit Power cord Knee Lift All the accessories that were packed with the machine Optional: Quilting Template for Ruler Work Fabric: Several 6 squares
More informationVoice based Control Signal Generation for Intelligent Patient Vehicle
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, Number 12 (2014), pp. 1229-1235 International Research Publications House http://www. irphouse.com Voice based Control
More informationDesign of High-Precision Infrared Multi-Touch Screen Based on the EFM32
Sensors & Transducers 204 by IFSA Publishing, S. L. http://www.sensorsportal.com Design of High-Precision Infrared Multi-Touch Screen Based on the EFM32 Zhong XIAOLING, Guo YONG, Zhang WEI, Xie XINGHONG,
More informationOn the axes of Fig. 4.1, sketch the variation with displacement x of the acceleration a of a particle undergoing simple harmonic motion.
1 (a) (i) Define simple harmonic motion. (b)... On the axes of Fig. 4.1, sketch the variation with displacement x of the acceleration a of a particle undergoing simple harmonic motion. Fig. 4.1 A strip
More informationCS 188: Artificial Intelligence Spring Speech in an Hour
CS 188: Artificial Intelligence Spring 2006 Lecture 19: Speech Recognition 3/23/2006 Dan Klein UC Berkeley Many slides from Dan Jurafsky Speech in an Hour Speech input is an acoustic wave form s p ee ch
More informationBASIC IMAGE RECORDING
BASIC IMAGE RECORDING BASIC IMAGE RECORDING This section describes the basic procedure for recording an image. Recording an Image Aiming the Camera Use both hands to hold the camera still when shooting
More informationSample Questions for the Engineering Module
Sample Questions for the Engineering Module Subtest Formalising Technical Interrelationships In the subtest "Formalising Technical Interrelationships," you are to transfer technical or scientific facts
More information12-6 Circular and Periodic Functions
26. CCSS SENSE-MAKING In the engine at the right, the distance d from the piston to the center of the circle, called the crankshaft, is a function of the speed of the piston rod. Point R on the piston
More informationEXHIBIT 7: MEASUREMENT PROCEDURES Pursuant 47 CFR 2.947
EXHIBIT 7: MEASUREMENT PROCEDURES Pursuant 47 CFR 2.947 7.1 RF Power -- Pursuant to 47 CFR 2.947(c) Method of Conducted Output Power Measurement: Adaptation of TIA/EIA-603-A clause 2.2.1 for Pulsed Measurements
More informationSRVODRV REV7 INSTALLATION NOTES
SRVODRV-8020 -REV7 INSTALLATION NOTES Thank you for purchasing the SRVODRV -8020 drive. The SRVODRV -8020 DC servo drive is warranted to be free of manufacturing defects for 1 year from the date of purchase.
More informationThe quantitative relationship between distance, time and speed
The quantitative relationship between distance, time and speed Introduction In order to understand motion, it is important to consider the basic definition in terms of distance and time. When we say a
More informationSingle-Slit Diffraction. = m, (Eq. 1)
Single-Slit Diffraction Experimental Objectives To observe the interference pattern formed by monochromatic light passing through a single slit. Compare the diffraction patterns of a single-slit and a
More informationSoftware user guide. Contents. Introduction. The software. Counter 1. Play Train 4. Minimax 6
Software user guide Contents Counter 1 Play Train 4 Minimax 6 Monty 9 Take Part 12 Toy Shop 15 Handy Graph 18 What s My Angle? 22 Function Machine 26 Carroll Diagram 30 Venn Diagram 34 Sorting 2D Shapes
More informationPatterns and Graphing Year 10
Patterns and Graphing Year 10 While students may be shown various different types of patterns in the classroom, they will be tested on simple ones, with each term of the pattern an equal difference from
More informationRESISTANCE & OHM S LAW (PART I
RESISTANCE & OHM S LAW (PART I and II) Objectives: To understand the relationship between potential and current in a resistor and to verify Ohm s Law. To understand the relationship between potential and
More informationIntroduction to Revolve - A Glass
Introduction to Revolve - A Glass Design & Communication Graphics 1 Object Analysis sheet Design & Communication Graphics 2 Prerequisite Knowledge Previous knowledge of the following commands are required
More informationHAAS LATHE PANEL TUTORIAL
HAAS LATHE PANEL TUTORIAL Safety First Never wear loose clothing or long hair while operating lathe Ensure that tools and workpiece are clamped securely Don't touch a rotating workpiece If something isn't
More informationCalibration check of dosimeters measuring whole body vibrations. Calibration check bench user manual
Vib@Work Calibration check of dosimeters measuring whole body vibrations. Calibration check bench user manual Version 1.1 TABLE OF CONTENTS SECTION 1 - DESCRIPTION... 1 1.1 PRINCIPLE... 1 1.2 PRACTICAL
More information6.1 - Introduction to Periodic Functions
6.1 - Introduction to Periodic Functions Periodic Functions: Period, Midline, and Amplitude In general: A function f is periodic if its values repeat at regular intervals. Graphically, this means that
More informationThe Automatic Classification Problem. Perceptrons, SVMs, and Friends: Some Discriminative Models for Classification
Perceptrons, SVMs, and Friends: Some Discriminative Models for Classification Parallel to AIMA 8., 8., 8.6.3, 8.9 The Automatic Classification Problem Assign object/event or sequence of objects/events
More informationInstallation instruction: Step 1 Remove the bolts (H) with Allen key (F) to separate wall plate unit (A) into two pieces. Wall plate H TV plate Step 2 Step 3 Step 4 10mm (2/5") E D Concrete wall OR Use
More informationRadiated EMI Recognition and Identification from PCB Configuration Using Neural Network
PIERS ONLINE, VOL. 3, NO., 007 5 Radiated EMI Recognition and Identification from PCB Configuration Using Neural Network P. Sujintanarat, P. Dangkham, S. Chaichana, K. Aunchaleevarapan, and P. Teekaput
More informationLearning the Times Tables!
Learning the Times Tables! There are some children who simply cannot learn their multiplication tables facts by heart, no matter how much effort they put into the task. Such children are often dyslexic
More informationA General Procedure (Solids of Revolution) Some Useful Area Formulas
Goal: Given a solid described by rotating an area, compute its volume. A General Procedure (Solids of Revolution) (i) Draw a graph of the relevant functions/regions in the plane. Draw a vertical line and
More informationELEC E7210: Communication Theory. Lecture 11: MIMO Systems and Space-time Communications
ELEC E7210: Communication Theory Lecture 11: MIMO Systems and Space-time Communications Overview of the last lecture MIMO systems -parallel decomposition; - beamforming; - MIMO channel capacity MIMO Key
More informationAutomatic Processing of Dance Dance Revolution
Automatic Processing of Dance Dance Revolution John Bauer December 12, 2008 1 Introduction 2 Training Data The video game Dance Dance Revolution is a musicbased game of timing. The game plays music and
More informationAudio processing methods on marine mammal vocalizations
Audio processing methods on marine mammal vocalizations Xanadu Halkias Laboratory for the Recognition and Organization of Speech and Audio http://labrosa.ee.columbia.edu Sound to Signal sound is pressure
More informationON THE IMPORTANCE OF ERROR MEMORY IN UMTS RADIO CHANNEL EMULATION USING HIDDEN MARKOV MODELS (HMM)
O THE IMPORTACE OF ERROR MEMORY I UMTS RADIO CHAEL EMULATIO USIG HIDDE MARKOV MODELS (HMM) Anna Umbert, Pilar Díaz Universitat Politècnica de Catalunya, C/Jordi Girona 1-3, 83 Barcelona, Spain, [annau,pilar]@tsc.upc.es
More informationOpportunistic Communications under Energy & Delay Constraints
Opportunistic Communications under Energy & Delay Constraints Narayan Mandayam (joint work with Henry Wang) Opportunistic Communications Wireless Data on the Move Intermittent Connectivity Opportunities
More information12A Distance, Time, and Speed
12A How do scientists describe motion? The average speed is the ratio of the distance traveled divided by the time taken. This is an idea you already use. For example, if your car is moving at a speed
More informationThe Geometric Definitions for Circles and Ellipses
18 Conic Sections Concepts: The Origin of Conic Sections Equations and Graphs of Circles and Ellipses The Geometric Definitions for Circles and Ellipses (Sections 10.1-10.3) A conic section or conic is
More informationAsura. An Environment for Assessment of Programming Challenges using Gamification
Asura An Environment for Assessment of Programming Challenges using Gamification José Paulo Leal CLIS 2018 José Carlos Paiva 16th April 2018 Beijing, China Outline Motivation Proposal Architecture Enki
More informationAdvanced Virgo commissioning challenges. Julia Casanueva on behalf of the Virgo collaboration
Advanced Virgo commissioning challenges Julia Casanueva on behalf of the Virgo collaboration GW detectors network Effect on Earth of the passage of a GW change on the distance between test masses Differential
More informationRobotic Systems Challenge 2013
Robotic Systems Challenge 2013 An engineering challenge for students in grades 6 12 April 27, 2013 Charles Commons Conference Center JHU Homewood Campus Sponsored by: Johns Hopkins University Laboratory
More informationREFERENCE GUIDE FOR THE SOIL COMPACTOR ANALYZER
REFERENCE GUIDE FOR THE SOIL COMPACTOR ANALYZER by Stephen Sebesta Assistant Research Scientist Texas Transportation Institute Wenting Liu, P.E. Associate Research Engineer Texas Transportation Institute
More informationOIS25. Optical smart sensor for hydraulic cylinders. General Description. Features. Applications. Pin Functions. Ordering Information
Optical smart sensor for hydraulic cylinders General Description is a patented smart optical device, which is usually combined with a hydraulic steering cylinder. The main application is on rough terrain
More informationEurope s Digital Agenda and Industry 4.0 A revolution in the making. Andrea Renda
Europe s Digital Agenda and Industry 4.0 A revolution in the making Andrea Renda Senior Research Fellow, CEPS Brussels, 17 March 2015 Agenda The fourth industrial revolution Is Europe ready? Is Europe
More informationPD Solutions. On-Line PD Measurement Devices
On-Line PD Measurement Devices 1. Longshot Device (see Figure 1) The measurement system applied is based around the wideband (0-400 MHz) HVPD- Longshot partial discharge test unit which utilizes a high-speed
More informationPurdue AFL. CATIA CAM Process Reference Rev. B
Purdue AFL CATIA CAM Process Reference Rev. B Revision Notes Revision - of this document refers to the CATIA v5r21 deployment of the AFL CATIA Environment. All information contained in this reference document
More informationTable of Contents. Preface 9 Prerequisites 9. Key Concept 1: Know Your Machine From A Programmer s Viewpoint 13. Table of Contents
Preface 9 Prerequisites 9 Basic machining practice experience 9 Controls covered 10 Limitations 10 Programming method 10 The need for hands -on practice 10 Instruction method 11 Scope 11 Key Concepts approach
More informationBlock: Date: Name: REVIEW Linear Equations. 7.What is the equation of the line that passes through the point (5, -3) and has a slope of -3?
Name: REVIEW Linear Equations 1. What is the slope of the line y = -2x + 3? 2. Write the equation in slope-intercept form. Block: Date: 7.What is the equation of the line that passes through the point
More informationPitlab & Zbig FPV System Version 2.60a. Pitlab&Zbig OSD. New functions and changes in v2.60. New functions and changes since version 2.
Pitlab & Zbig FPV System Version 2.60a since version 2.50a Pitlab&Zbig OSD in v2.60a Added support for new Pitlab airspeed sensor. Sensor is connected to yellow OSD socket and is configured in similar
More informationDIMENSIONING ENGINEERING DRAWINGS
DIMENSIONING ENGINEERING DRAWINGS An engineering drawing must be properly dimensioned in order to convey the designer s intent to the end user. Dimensions provide the information needed to specify the
More informationQuick Start for Autodesk Inventor
Quick Start for Autodesk Inventor Autodesk Inventor Professional is a 3D mechanical design tool with powerful solid modeling capabilities and an intuitive interface. In this lesson, you use a typical workflow
More information- 1 - Rep. ITU-R M.2009 REPORT ITU-R M.2009 DIRECT-DIAL TELEPHONE SYSTEMS FOR THE MARITIME MOBILE SERVICE
- 1 - REPORT ITU-R M.2009 DIRECT-DIAL TELEPHONE SYSTEMS FOR THE MARITIME MOBILE SERVICE (1995) General Although the DSC system may be used to establish fully automatic systems in the directions ship-to-shore,
More information8.3. The Graphs of Sinusoidal Functions. INVESTIGATE the Math
. The Graphs of Sinusoidal Functions Identif characteristics of the graphs of sinusoidal functions. INVESTIGATE the Math Students in Simone s graduating class went on an echange trip to China. While the
More informationIDENTIFICATION OF SIGNATURES TRANSMITTED OVER RAYLEIGH FADING CHANNEL BY USING HMM AND RLE
International Journal of Technology (2011) 1: 56 64 ISSN 2086 9614 IJTech 2011 IDENTIFICATION OF SIGNATURES TRANSMITTED OVER RAYLEIGH FADING CHANNEL BY USING HMM AND RLE Djamhari Sirat 1, Arman D. Diponegoro
More informationGeo EasyTrack Auto Tracking System for Line Lasers
DE EN FR Geo EasyTrack Auto Tracking System for Line Lasers USER MANUAL I www.geo-fennel.de www.geo-fennel.com www.geo-fennel.fr DE Dear customer, Thank you for your confidence in us having purchased a
More informationThe need for Data Converters
The need for Data Converters ANALOG SIGNAL (Speech, Images, Sensors, Radar, etc.) PRE-PROCESSING (Filtering and analog to digital conversion) DIGITAL PROCESSOR (Microprocessor) POST-PROCESSING (Digital
More informationLearning and Using Models of Kicking Motions for Legged Robots
Learning and Using Models of Kicking Motions for Legged Robots Sonia Chernova and Manuela Veloso Computer Science Department Carnegie Mellon University Pittsburgh, PA 15213 {soniac, mmv}@cs.cmu.edu Abstract
More informationVoltage Current and Resistance II
Voltage Current and Resistance II Equipment: Capstone with 850 interface, analog DC voltmeter, analog DC ammeter, voltage sensor, RLC circuit board, 8 male to male banana leads 1 Purpose This is a continuation
More informationAUTOMATIC LEVEL CROSSING WITH REAL SOUND FOR 2 GATES/BARRIERS LCS6B
AUTOMATIC LEVEL CROSSING WITH REAL SOUND FOR 2 GATES/BARRIERS LCS6B Fully Flexible Controller with Sound and Servo Motors for Barriers or Gates Automatically detects traction current drawn by scale model
More informationEleventh Annual Ohio Wesleyan University Programming Contest April 1, 2017 Rules: 1. There are six questions to be completed in four hours. 2.
Eleventh Annual Ohio Wesleyan University Programming Contest April 1, 217 Rules: 1. There are six questions to be completed in four hours. 2. All questions require you to read the test data from standard
More informationSIMULATION VOICE RECOGNITION SYSTEM FOR CONTROLING ROBOTIC APPLICATIONS
SIMULATION VOICE RECOGNITION SYSTEM FOR CONTROLING ROBOTIC APPLICATIONS 1 WAHYU KUSUMA R., 2 PRINCE BRAVE GUHYAPATI V 1 Computer Laboratory Staff., Department of Information Systems, Gunadarma University,
More informationChapter 6.2: Trig Proofs
Chapter 6.2: Trig Proofs Proofs are fun, simply because they can be so challenging. No two are alike. While there are several common strategies for analytically proofing non-fundamental trig identities,
More informationHIP_HOP_XBOX_KINECT_Mancover_ANZ.idml 2-3
300051303 HIP_HOP_XBOX_KINECT_Mancover_ANZ.idml 2-3 11/10/12 11:27 WARNING Before playing this game, read the Xbox 360 console, Xbox 360 Kinect Sensor, and accessory manuals for important safety and health
More informationVisionGauge OnLine Standard Edition Spec Sheet
VisionGauge OnLine Standard Edition Spec Sheet VISIONx INC. www.visionxinc.com Powerful & Easy to Use Intuitive Interface VisionGauge OnLine is a powerful and easy-to-use machine vision software for automated
More informationCreo Parametric 2.0: Introduction to Solid Modeling. Creo Parametric 2.0: Introduction to Solid Modeling
Creo Parametric 2.0: Introduction to Solid Modeling 1 2 Part 1 Class Files... xiii Chapter 1 Introduction to Creo Parametric... 1-1 1.1 Solid Modeling... 1-4 1.2 Creo Parametric Fundamentals... 1-6 Feature-Based...
More informationMotion planning in mobile robots. Britta Schulte 3. November 2014
Motion planning in mobile robots Britta Schulte 3. November 2014 Motion planning in mobile robots Introduction Basic Problem and Configuration Space Planning Algorithms Roadmap Cell Decomposition Potential
More information2.3 Quick Graphs of Linear Equations
2.3 Quick Graphs of Linear Equations Algebra III Mr. Niedert Algebra III 2.3 Quick Graphs of Linear Equations Mr. Niedert 1 / 11 Forms of a Line Slope-Intercept Form The slope-intercept form of a linear
More informationWELCOME TO PHYC 493L Contemporary Physics Lab
WELCOME TO PHYC 493L Contemporary Physics Lab Spring Semester 2016 Instructor: Dr Michael Hasselbeck Teaching Assistant: Chih Feng Wang (CHTM) WHAT IS THIS COURSE ABOUT? Laboratory experience for advanced
More information2-Axis Force Platform PS-2142
Instruction Manual 012-09113B 2-Axis Force Platform PS-2142 Included Equipment 2-Axis Force Platform Part Number PS-2142 Required Equipment PASPORT Interface 1 See PASCO catalog or www.pasco.com Optional
More informationNuclear Associates
Nuclear Associates 07-647 R/F QC Phantom Operators Manual March 2005 Manual No. 07-647-1 Rev. 2 2004, 2005 Fluke Corporation, All rights reserved. All product names are trademarks of their respective companies
More informationSeries SRX SURVEYING INSTRUMENTS QUICK START GUIDE 1 PREPARATION 2. MEASUREMENT SETTINGS. Auto Tracking PROCEDURE
SURVEYING INSTRUMENTS Series SRX QUICK START GUIDE This guide explains settings and procedures for standard measurement using the SRX as an element of the On-demand Remote Control System (RC-PR3). For
More informationWhat is CCD Commander?
Matt Thomas What is CCD Commander? Multi-target imaging automation tool Controls all aspects of the imaging system Camera (Imaging and Guiding); Mount (Fork or GEM) Dome/Roll-of-roof; Focuser; Rotator;
More informationUsing RASTA in task independent TANDEM feature extraction
R E S E A R C H R E P O R T I D I A P Using RASTA in task independent TANDEM feature extraction Guillermo Aradilla a John Dines a Sunil Sivadas a b IDIAP RR 04-22 April 2004 D a l l e M o l l e I n s t
More informationDevelopment of an Education System for Surface Mount Work of a Printed Circuit Board
Development of an Education System for Surface Mount Work of a Printed Circuit Board H. Ishii, T. Kobayashi, H. Fujino, Y. Nishimura, H. Shimoda, H. Yoshikawa Kyoto University Gokasho, Uji, Kyoto, 611-0011,
More informationRevision 1. March 21, ADC Operation Manual N 11 th St San Jose CA
Revision 1 March 21, 2017 ADC Operation Manual www.mountztorque.com - 1080 N 11 th St San Jose CA 95112 408.292.2214 1 Index 1. Installation 3 1.1 Required PC specification 3 1.2 Software 3 2. Operation
More informationNEULOG PHOTO GATE LOGGER SENSOR GUIDE
NeuLog photo gate logger sensor NUL-209 Part# NL-2090 The NeuLog photo gate sensor can be used for any science experiment which involves taking accurate velocity and/or acceleration measurements especially
More informationNEULOG PHOTO GATE LOGGER SENSOR GUIDE
NeuLog photo gate logger sensor NUL-209 The NeuLog photo gate sensor can be used for any science experiment which involves taking accurate velocity and/or acceleration measurements especially in the field
More informationThird Grade Mathematics Scope and Sequence
Third Grade Mathematics Scope and Sequence Quarter 1 Domain Operations & Algebraic Thinking Numbers & Operation in Base Ten Standard 3.OA.1 Interpret products of whole numbers, e.g., interpret 5 x 7 as
More informationNSCAS - Math Table of Specifications
NSCAS - Math Table of Specifications MA 3. MA 3.. NUMBER: Students will communicate number sense concepts using multiple representations to reason, solve problems, and make connections within mathematics
More informationPersonalize Your Napkins
Dress up a table with embroidered napkins. These napkins are great for gifts, but don t forget to make some for yourself. In this project, we ll be working with text, adding a decorative outline to it,
More informationGestureCommander: Continuous Touch-based Gesture Prediction
GestureCommander: Continuous Touch-based Gesture Prediction George Lucchese george lucchese@tamu.edu Jimmy Ho jimmyho@tamu.edu Tracy Hammond hammond@cs.tamu.edu Martin Field martin.field@gmail.com Ricardo
More informationMobile and web games Development
Mobile and web games Development For Alistair McMonnies FINAL ASSESSMENT Banner ID B00193816, B00187790, B00186941 1 Table of Contents Overview... 3 Comparing to the specification... 4 Challenges... 6
More informationMD PAPER PRODUCTS 10th Anniversary Products
MD PAPER PRODUCTS 10th Anniversary Products 1 Designed for Writer s Comfort MD PAPER PRODUCTS will be able to encourage the creativity of each user. Quality Paper Writing comfort, sound when you write
More informationClassroom Konnect. Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning 1. What is Machine Learning (ML)? The general idea about Machine Learning (ML) can be traced back to 1959 with the approach proposed by Arthur Samuel, one of
More informationUpgrading from Stepper to Servo
Upgrading from Stepper to Servo Switching to Servos Provides Benefits, Here s How to Reduce the Cost and Challenges Byline: Scott Carlberg, Motion Product Marketing Manager, Yaskawa America, Inc. The customers
More information