Margarita Grinvald. Gesture recognition for Smartphones/Wearables
|
|
- Marybeth McGee
- 6 years ago
- Views:
Transcription
1 Margarita Grinvald Gesture recognition for Smartphones/Wearables
2 Gestures hands, face, body movements non-verbal communication human interaction 2
3 Gesture recognition interface with computers increase usability intuitive interaction 3
4 Gesture sensing Contact type: Touch based Non-contact type: Device gesture Vision based Electrical Field Sensing (EFS) 4
5 Issues on mobile devices miniaturisation lack tactile clues no link between physical and digital interactions computational power 5
6 Approaches augment environment with digital information Sixthsense [Mistry et al. SIGGRAPH 2009] Skinput [Harrison et al. CHI 2010] OmniTouch [Harrison et al. UIST 2011] 6
7 Approaches augment hardware In-air typing interface for mobile devices with vibration feedback [Niikura et al. SIGGRAPH 2010] A low-cost transparent electric field sensor for 3D interaction [Le Goc et al. CHI 2014] MagGetz [Hwang et al. UIST 2013] 7
8 Approaches efficient algorithms combine devices In-air gestures around unmodified mobile devices [Song et al. UIST 2014] Duet: Exploring Joint interactions on a smart phone and a smart watch [Chen et al. CHI 2014] 8
9 Sixthsense [Mistry et al. SIGGRAPH 2009] augment environment with visual information interact through natural hand gestures wearable to be truly mobile 9
10 Color markers Camera Projector Smartphone Mirror 10
11 Support for arbitrary surfaces 11
12 Support for multitouch 12
13 Limitations inability track surfaces differentiate hover and click accuracy limitations 13
14 Skinput [Harrison et al. CHI 2010] skin as input canvas wearable bio-acoustic sensor localisation of finger tap 14
15 Projector Armband 15
16 Mechanical phenomena finger tap on skin generates acoustic energy some energy becomes sound waves some energy transmitted through the arm 16
17 17
18 Transverse waves 18
19 Longitudinal waves 19
20 Sensing array of tuned vibrations sensors sensitive only to motion perpendicular to skin two sensing arrays to disambiguate different armband positions. 20
21 Sensor packages Weights 21
22 Tap localisation sensor data segmented into taps ML classification of location initial training stage 22
23 23
24 Limitations lack of support of other surfaces than skin no multitouch support no touch drag movement 24
25 OmniTouch [Harrison et al. UIST 2011] appropriate on demand ad hoc surfaces depth sensing and projection wearable depth driven template matching 25
26 Depth Camera Projector 26
27 Finger tracking multitouch finger tracking on arbitrary surfaces no calibration or training resolve position and distinguish hover from click 27
28 Finger segmentation Depth map Depth map gradient 28
29 Finger segmentation Candidates Tip estimation 29
30 Click detection Finger hovering Finger clicking 30
31 On demand interfaces expand application space with graphical feedback track surface on which rendered update interface as surface moves 31
32 Interface glued to surface 32
33 33
34 In-air typing interface for mobile devices with vibration feedback [Niikura et al. SIGGRAPH 2010] vision based 3D input interface detect keystroke action in the air provide vibration feedback 34
35 vibration motor white LEDs Camera 35
36 Tracking high frame rate camera wide angle lens needs distortion correction skin colour extraction to detect fingertip estimate fingertip translation, rotation and scale 36
37 Keystroke feedback difference of the dominant frequency of the fingertips scale to detect keystroke tactile feedback is important vibration feedback is conveyed after a keystroke 37
38 Vision limitations camera is rich and flexible but with limitations minimal distance between sensor and scene sensitivity to lighting changes computational overheads high power requirements 38
39 A low-cost transparent electric field sensor for 3D interaction [Le Goc et al. CHI 2014] smartphone augmented with EFS resilient to illumination changes mapping measurements to 3D finger positions. 39
40 Drive electronics Electrode array 40
41 Recognition microchip built-in 3D positioning has low accuracy Random Decision Forests for regression on raw signal data speed and accuracy 41
42 42
43 MagGetz [Hwang et al. UIST 2013] tangible control widgets for richer tactile clues wider interaction area low cost and user configurable unpowered magnets 43
44 Magnetic fields Tangibles 44
45 Tangibles traditional physical input controls with magnets magnetic traces change on widget state change track physical movement of control widgets 45
46 Tangibles magnetism Toggle switch Slider 46
47 47
48 Limitations object damage by magnets magnetometer limitations 48
49 In-air gestures around unmodified mobile devices [Song et al. UIST 2014] extend interaction space with gesturing mobile devices RGB camera robust ML based algorithm 49
50 Gesture recognition detection of salient hand parts (fingertips) works without relying on highly discriminative depth data and rich computational resources no strong assumption about users environment reasonably robust to rotation and depth variation 50
51 Recognition algorithm real time algorithm pixel labelling with random forests techniques to reduce memory footprint of classifier 51
52 Recognition steps RGB input Segmentation Labeling 52
53 Applications division of labor works on many devices new apps enabled just by collecting new data 53
54 54
55 55
56 Duet: Exploring joint interactions on a smart phone and a smart watch [Chen et al. CHI 2014] beyond usage of single device allow individual input and output joint interactions smart phone and smart watch 56
57 Design space theory conversational duet foreground interaction background interaction 57
58 Design space 58
59
60 Design space 60
61
62 Gesture recognition ML techniques on accelerometer data handedness recognition promising accuracy 62
63 Summary wearables extend interaction space to everyday surfaces augmented hardware in general provides an intuitive interface no additional hardware is preferable but there are still computational limitations combination of devices may be redundant 63
64 References SixthSense: a wearable gestural interface [Mistry et al. SIGGRAPH 2009] Skinput: Appropriating the Body As an Input Surface [Harrison et al. CHI 2010] OmniTouch: Wearable Multitouch Interaction Everywhere [Harrison et al. UIST 2011] In-air typing interface for mobile devices with vibration feedback [Niikura et al. SIGGRAPH 2010] A Low-cost Transparent EF Sensor for 3D Interaction on Mobile Devices [Le Goc et al. CHI 2014] MagGetz: customizable passive tangible controllers on and around [Hwang et al. UIST 2013] In-air gestures around unmodified mobile devices mobile devices [Song et al. UIST 2014] Duet: Exploring Joint Interactions on a Smart Phone and a Smart Watch [Chen et al. CHI 2014] 64
98.2% 85.5% 93.8% Graduate School of Information Science and Technology, Osaka University
1 1 1 1 1 98.2% 85.5% 93.8% 1. 1 Graduate School of Information Science and Technology, Osaka University 62 2. 2.1 Yeo RadarCat random forest classifier [1] Laput [2] Baudisch Lumino [3] 2.2 Ament The
More informationDetecting Fingertip Method and Gesture Usability Research for Smart TV. Won-Jong Yoon and Jun-dong Cho
Detecting Fingertip Method and Gesture Usability Research for Smart TV Won-Jong Yoon and Jun-dong Cho Outline Previous work Scenario Finger detection Block diagram Result image Performance Usability test
More informationTouch Technologies. Sara Kilcher MSc Computer Science Student Distributed Systems Group ETH Zrich Raemistrasse Zurich
Touch Technologies Sara Kilcher MSc Computer Science Student Distributed Systems Group ETH Zrich Raemistrasse 101 8092 Zurich sakilche@student.ethz ABSTRACT Touch has become a standard input method for
More informationMouse Simulation Using Two Coloured Tapes
Mouse Simulation Using Two Coloured Tapes Kamran Niyazi 1, Vikram Kumar 2, Swapnil Mahe 3 and Swapnil Vyawahare 4 Department of Computer Engineering, AISSMS COE, University of Pune, India kamran.niyazi@gmail.com
More informationUbiquitous and Mobile Computing CS 528: Duet: Exploring Joint Interactions on a Smart Phone and a Smart Watch
Ubiquitous and Mobile Computing CS 528: Duet: Exploring Joint Interactions on a Smart Phone and a Smart Watch Zhiming Hong Computer Science Dept. Worcester Polytechnic Institute (WPI) Overview Introduction
More informationMobile UI. Device, Input, Interaction Characteristics. Mobile UI 1
Mobile UI Device, Input, Interaction Characteristics Mobile UI 1 Desktop and Mobile Mobile UI 2 Why touch? Space optimization! Touch screens combine input and output, which optimizes the display/output
More informationAugmenting Reality with Projected Interactive Displays
Augmenting Reality with Projected Interactive Displays Claudio Pinhanez IBM T.J. Watson Research Center, P.O. Box 218 Yorktown Heights, N.Y. 10598, USA Abstract. This paper examines a steerable projection
More informationMIME: A Gesture-Driven Computer Interface
MIME: A Gesture-Driven Computer Interface Daniel Heckenberg a and Brian C. Lovell b a Department of Computer Science and Electrical Engineering, The University of Queensland, Brisbane, Australia, 4072
More informationGTC Interaction Simplified. Gesture Recognition Everywhere: Gesture Solutions on Tegra
GTC 2013 Interaction Simplified Gesture Recognition Everywhere: Gesture Solutions on Tegra eyesight at a Glance Touch-free technology providing an enhanced user experience. Easy and intuitive control
More informationRich Augmented Reality Interactions (without goggles, gloves or 3D trackers)
Rich Augmented Reality Interactions (without goggles, gloves or 3D trackers) Hrvoje Benko er, MSR Redmond Surface Touch Mouse THE DISCONNECT BETWEEN REAL AND DIGITAL WORLDS Visually rich Call of Duty
More informationThe 3D Terrain Interactive Technique Based on Gesture Recognition Yanyan Li1, a, Xiaomeng Xu2, b, Jiayu Sun3, c, Haimeng Zhao4, d*
Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2016) The 3D Terrain Interactive Technique Based on Gesture Recognition Yanyan Li1, a, Xiaomeng Xu2,
More informationHoverLink: Joint Interactions using Hover Sensing Capability
HoverLink: Joint Interactions using Hover Sensing Capability Takuro Kuribara University of Tsukuba 1-1-1 Tennodai, Ibaraki, 305-8573, Japan kuribara@iplab.cs.tsukuba.ac.jp Buntarou Shizuki University of
More informationNote: Text based on automatic Optical Character Recognition processes. SAMSUNG GALAXY NOTE
Note: Text based on automatic Optical Character Recognition processes. SAMSUNG GALAXY NOTE PRIORITY This application is a Continuation of U.S. application Ser. No. 14/540,447, which was filed in the U.S.
More informationSteerable Interfaces for Pervasive Computing Spaces
Steerable Interfaces for Pervasive Computing Spaces Gopal Pingali Claudio Pinhanez,, Anthony Levas,, Rick Kjeldsen,, Mark Podlaseck,, Han Chen, Noi Sukaviriya IBM T.J. Watson Research Center Hawthorne,
More informationMicro-scale Stereo Photogrammetry of Skin Lesions for Depth and Colour Classification
Micro-scale Stereo Photogrammetry of Skin Lesions for Depth and Colour Classification Tim Lukins Institute of Perception, Action and Behaviour 1 Introduction The classification of melanoma has traditionally
More information26/05/2015 AR & VR? 1 1
AR & VR? 1 1 2 2 3 3 4 4 5 5 Ubiquitous Computing (UbiComp) To activate the world by embedding the computing into the environment and the objects (Mark Weiser, 1993) Anywhere and everywhere Also called
More informationComputer Animation and Visualisation. Lecture 3. Motion capture and physically-based animation of characters
Computer Animation and Visualisation Lecture 3. Motion capture and physically-based animation of characters Character Animation There are three methods Create them manually Use real human / animal motions
More informationUser Interfaces for Web Sites and Mobile Devices. System and Networks
User Interfaces for Web Sites and Mobile Devices System and Networks Computer Systems and Networks: Device-Aware Interfaces Interfaces must take into account physical constraints of computers and networks:
More informationAdvanced Imaging Applications on Smart-phones Convergence of General-purpose computing, Graphics acceleration, and Sensors
Advanced Imaging Applications on Smart-phones Convergence of General-purpose computing, Graphics acceleration, and Sensors Sriram Sethuraman Technologist & DMTS, Ittiam 1 Overview Imaging on Smart-phones
More informationVision-Based Hand Detection for Registration of Virtual Objects in Augmented Reality
International Journal of Future Computer and Communication, Vol. 2, No. 5, October 213 Vision-Based Hand Detection for Registration of Virtual Objects in Augmented Reality Kah Pin Ng, Guat Yew Tan, and
More informationGesture Recognition: Hand Pose Estimation. Adrian Spurr Ubiquitous Computing Seminar FS
Gesture Recognition: Hand Pose Estimation Adrian Spurr Ubiquitous Computing Seminar FS2014 27.05.2014 1 What is hand pose estimation? Input Computer-usable form 2 Augmented Reality Gaming Robot Control
More informationLecture 19: Depth Cameras. Visual Computing Systems CMU , Fall 2013
Lecture 19: Depth Cameras Visual Computing Systems Continuing theme: computational photography Cameras capture light, then extensive processing produces the desired image Today: - Capturing scene depth
More informationGesture Recognition Technique:A Review
Gesture Recognition Technique:A Review Nishi Shah 1, Jignesh Patel 2 1 Student, Indus University, Ahmedabad 2 Assistant Professor,Indus University,Ahmadabad Abstract Gesture Recognition means identification
More informationSensor technology for mobile robots
Laser application, vision application, sonar application and sensor fusion (6wasserf@informatik.uni-hamburg.de) Outline Introduction Mobile robots perception Definitions Sensor classification Sensor Performance
More informationData-driven Approaches to Simulation (Motion Capture)
1 Data-driven Approaches to Simulation (Motion Capture) Ting-Chun Sun tingchun.sun@usc.edu Preface The lecture slides [1] are made by Jessica Hodgins [2], who is a professor in Computer Science Department
More informationDIGITAL SIXTH SENSE & PICO PROJECTOR PRESENTED BY: HARSH VERDHAN ( ) AMIT PATEL( )
DIGITAL SIXTH SENSE & PICO PROJECTOR PRESENTED BY: HARSH VERDHAN (200811035) AMIT PATEL(200811023) 1 OUTLINE Introduction Main Devices Pico Projector How it works? Application Future work References 2
More informationSmartWatch. February Specification. Developer World sonymobile.com/developer
February 2013 SmartWatch Specification *All implied warranties, including without limitation the implied warranties of merchantability or fitness for a particular purpose, are excluded. In no event shall
More informationInteractive Devices. EPSON Interactive whiteboard
Interactive Devices EPSON Interactive whiteboard The Interactive Whiteboard is the white projection surface under the projector labelled Main (ilecture). On this surface you will be able to write over
More informationStatic Gesture Recognition with Restricted Boltzmann Machines
Static Gesture Recognition with Restricted Boltzmann Machines Peter O Donovan Department of Computer Science, University of Toronto 6 Kings College Rd, M5S 3G4, Canada odonovan@dgp.toronto.edu Abstract
More informationInteraction with the Physical World
Interaction with the Physical World Methods and techniques for sensing and changing the environment Light Sensing and Changing the Environment Motion and acceleration Sound Proximity and touch RFID Sensors
More informationComparative Study of Hand Gesture Recognition Techniques
Reg. No.:20140316 DOI:V2I4P16 Comparative Study of Hand Gesture Recognition Techniques Ann Abraham Babu Information Technology Department University of Mumbai Pillai Institute of Information Technology
More informationFingertips Tracking based on Gradient Vector
Int. J. Advance Soft Compu. Appl, Vol. 7, No. 3, November 2015 ISSN 2074-8523 Fingertips Tracking based on Gradient Vector Ahmad Yahya Dawod 1, Md Jan Nordin 1, and Junaidi Abdullah 2 1 Pattern Recognition
More informationSmart Glasses & Applications. Presenter: Xu Qiu! Advisor: C.-C. (Jay) Kuo!
Smart Glasses & Applications Presenter: Xu Qiu Advisor: C.-C. (Jay) Kuo 1 1 Outline Introduction Comparison of Smart Glasses Apps for Developing Platform Development and Implementation of Computer Vision
More informationVSP-Virtual Smart Phone (First Step to Connect Virtual World)
VSP-Virtual Smart Phone (First Step to Connect Virtual World) Happy B.Tech Student of Computer Science & Engineering, Bhagwan Parshuram Institute of Technology, GGSIPU, Delhi, India Abstract For every
More information3D Time-of-Flight Image Sensor Solutions for Mobile Devices
3D Time-of-Flight Image Sensor Solutions for Mobile Devices SEMICON Europa 2015 Imaging Conference Bernd Buxbaum 2015 pmdtechnologies gmbh c o n f i d e n t i a l Content Introduction Motivation for 3D
More informationA Study on Wearable Gestural Interface A SixthSense Technology
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 10, Issue 5 (Mar. - Apr. 2013), PP 10-16 A Study on Wearable Gestural Interface A SixthSense Technology Rakesh
More informationOpportunities for ML Analytics at the Sensor Endpoint
Opportunities for ML Analytics at the Sensor Endpoint Chris Rogers, CEO SensiML Corporation MAKING SENSOR DATA SENSIBLE IoT Smart Devices How Many Qualify as Truly Smart? The Majority of IoT Endpoint Devices
More informationPutting the Touch in Multi-Touch: An in-depth look at the future of interactivity. Gary L. Barrett, Chief Technical Officer at Touch International
Putting the Touch in Multi-Touch: An in-depth look at the future of interactivity Gary L. Barrett, Chief Technical Officer at Touch International Introduction Multi-touch touch screens are fast becoming
More informationJohn Ray. Sams Teach Yourself. iphone. Application Development. Second Edition. S^/MS 800 East 96th Street, Indianapolis, Indiana, USA
John Ray Sams Teach Yourself iphone Application Development Second Edition S^/MS 800 East 96th Street, Indianapolis, Indiana, 46240 USA Table of Contents Introduction 1 Who Can Become an iphone Developer?
More informationAvailable online at ScienceDirect. Procedia Technology 18 (2014 )
Available online at www.sciencedirect.com ScienceDirect Procedia Technology 18 (2014 ) 140 144 International workshop on Innovations in Information and Communication Science and Technology, IICST 2014,
More informationOutline Sensors. EE Sensors. H.I. Bozma. Electric Electronic Engineering Bogazici University. December 13, 2017
Electric Electronic Engineering Bogazici University December 13, 2017 Absolute position measurement Outline Motion Odometry Inertial systems Environmental Tactile Proximity Sensing Ground-Based RF Beacons
More informationCamera Phones with Pen Input as Annotation Devices
Camera Phones with Pen Input as Annotation Devices Michael Rohs and Christof Roduner Department of Computer Science ETH Zürich ETH Zürich Taskforce Kommunikation Camera Phones with Pen Input for Generating
More informationOverview. Augmented reality and applications Marker-based augmented reality. Camera model. Binary markers Textured planar markers
Augmented reality Overview Augmented reality and applications Marker-based augmented reality Binary markers Textured planar markers Camera model Homography Direct Linear Transformation What is augmented
More informationAn Interactive Technique for Robot Control by Using Image Processing Method
An Interactive Technique for Robot Control by Using Image Processing Method Mr. Raskar D. S 1., Prof. Mrs. Belagali P. P 2 1, E&TC Dept. Dr. JJMCOE., Jaysingpur. Maharashtra., India. 2 Associate Prof.
More informationKinect for Windows An Update for Researchers
1 Kinect for Windows An Update for Researchers Stewart Tansley, PhD Microsoft Research Connections Special thanks: Prof. Patrick Baudisch, Hasso Plattner Institute and Kinect for Windows product group
More informationPressTact: Side Pressure-Based Input for Smartwatch Interaction
PressTact: Side Pressure-Based Input for Smartwatch Interaction Rajkumar Darbar IIT Kharagpur West Bengal, India rajdarbar.r@gmail.com Prasanta Kr Sen IIT Kharagpur West Bengal, India prasanta.sonu@gmail.com
More informationOmniTouch: Wearable Multitouch Interaction Everywhere
Paper Session: Mobile OmniTouch: Wearable Multitouch Interaction Everywhere Chris Harrison1,2 Hrvoje Benko1 1 Andrew D. Wilson1 2 Microsoft Research One Microsoft Way Redmond, WA 98052 {benko,awilson}@microsoft.com
More informationA method for depth-based hand tracing
A method for depth-based hand tracing Khoa Ha University of Maryland, College Park khoaha@umd.edu Abstract An algorithm for natural human-computer interaction via in-air drawing is detailed. We discuss
More informationHigh-Fidelity Augmented Reality Interactions Hrvoje Benko Researcher, MSR Redmond
High-Fidelity Augmented Reality Interactions Hrvoje Benko Researcher, MSR Redmond New generation of interfaces Instead of interacting through indirect input devices (mice and keyboard), the user is interacting
More informationTOWARDS NEW INTERFACES AT MULTITOUCH TECHNOLOGY Ms. Pratima B. Khot 1, Ms.Tejashri H. Mohite 2
IOSR Journal of Electronics & Communication Engineering (IOSR-JECE) ISSN : 2278-2834, ISBN : 2278-8735, PP : 54-59 www.iosrjournals.org TOWARDS NEW INTERFACES AT MULTITOUCH TECHNOLOGY Ms. Pratima B. Khot
More informationSIXTH SENSE TECHNOLOGY
SIXTH SENSE TECHNOLOGY N. RUKMINI SAI PRIYA Computer Science Engineering Godavari Institute of Engineering and Technology ABSTRACT Sixth Sense Technology has emerged as a field of study that makes an effective
More informationOutline. Introduction System Overview Camera Calibration Marker Tracking Pose Estimation of Markers Conclusion. Media IC & System Lab Po-Chen Wu 2
Outline Introduction System Overview Camera Calibration Marker Tracking Pose Estimation of Markers Conclusion Media IC & System Lab Po-Chen Wu 2 Outline Introduction System Overview Camera Calibration
More information3D Scanning. Qixing Huang Feb. 9 th Slide Credit: Yasutaka Furukawa
3D Scanning Qixing Huang Feb. 9 th 2017 Slide Credit: Yasutaka Furukawa Geometry Reconstruction Pipeline This Lecture Depth Sensing ICP for Pair-wise Alignment Next Lecture Global Alignment Pairwise Multiple
More informationU-Remo: Projection-assisted Gesture Control for Home Electronics
U-Remo: Projection-assisted Gesture Control for Home Electronics Kaori UJIMA Department of Computer Science, Ochanomizu University ujima.kaori@is.ocha.ac.jp Azusa KADOMURA Department of Computer Science,
More informationTap Position Inference on Smart Phones
Tap Position Inference on Smart Phones Ankush Chauhan 11-29-2017 Outline Introduction Application Architecture Sensor Event Data Sensor Data Collection App Demonstration Scalable Data Collection Pipeline
More informationGame Programming with. presented by Nathan Baur
Game Programming with presented by Nathan Baur What is libgdx? Free, open source cross-platform game library Supports Desktop, Android, HTML5, and experimental ios support available with MonoTouch license
More informationA Wearable Hardware Platform for Capturing Expert s Experience
A Wearable Hardware Platform for Capturing Expert s Experience Puneet Sharma (UiT) Tre Azam (Myndplay, UK) Soyeb Aswat (Myndplay, UK) Roland Klemke (Open University of the Netherlands) Fridolin Wild (Oxford
More informationMeasuring Grasp Posture Using an Embedded Camera
2017 IEEE Winter Conference on Applications of Computer Vision Workshops Measuring Grasp Posture Using an Embedded Camera Naoaki Kashiwagi 1, Yuta Sugiura 1, Natsuki Miyata 2, Mitsunori Tada 2, Maki Sugimoto
More informationDeep Learning for Virtual Shopping. Dr. Jürgen Sturm Group Leader RGB-D
Deep Learning for Virtual Shopping Dr. Jürgen Sturm Group Leader RGB-D metaio GmbH Augmented Reality with the Metaio SDK: IKEA Catalogue App Metaio: Augmented Reality Metaio SDK for ios, Android and Windows
More informationArchGenTool: A System-Independent Collaborative Tool for Robotic Architecture Design
ArchGenTool: A System-Independent Collaborative Tool for Robotic Architecture Design Emanuele Ruffaldi (SSSA) I. Kostavelis, D. Giakoumis, D. Tzovaras (CERTH) Overview Problem Statement Existing Solutions
More informationMediaTek Natural User Interface
MediaTek White Paper October 2014 2014 MediaTek Inc. Table of Contents 1 Introduction... 3 2 Computer Vision Technology... 7 3 Voice Interface Technology... 9 3.1 Overview... 9 3.2 Voice Keyword Control...
More informationComputer STMicroelectronics. Competencies and Advanced Research Topics
Computer Vision @ STMicroelectronics Competencies and Advanced Research Topics Alessandro Capra (alessandro.capra@st.com) Mirko Guarnera (mirko.guarnera@st.com) AST SI Computer Vision Platform UniCT DMI
More informationSystem Requirements:-
Anime Studio Pro 9 Complete Animation for Professionals & Digital Artists! Anime Studio Pro 9 is for professionals looking for a more efficient alternative to tedious frame-by-frame animation. With an
More informationCoin Size Wireless Sensor Interface for Interaction with Remote Displays
Coin Size Wireless Sensor Interface for Interaction with Remote Displays Atia Ayman, Shin Takahashi, and Jiro Tanaka Department of Computer Science, Graduate school of systems and information engineering,
More informationHCI FOR IPHONE. Veronika Irvine PhD Student, VisID lab University of Victoria
HCI FOR IPHONE Veronika Irvine PhD Student, VisID lab University of Victoria Technologies of the Decade http://spectrum.ieee.org/static/special-report-top-11-technologies-of-the-decade No. 1 Smart Phones
More informationPaper. A Specification Method of Character String Region in Augmented Reality
Journal of the Institute of Industrial Applications Engineers Vol.6, No.2, pp.73 79, (2018.4.25) DOI: 10.12792/JIIAE.6.73 Online edition: ISSN 2187-8811 Print edition: ISSN 2188-1758 Paper A Specification
More informationPhotoshop PSD Export. Basic Tab. Click here to expand Table of Contents... Basic Tab Additional Shading Tab Material Tab Motion Tab Geometry Tab
Photoshop PSD Export Click here to expand Table of Contents... Basic Tab Additional Shading Tab Material Tab Motion Tab Geometry Tab The Photoshop PSD Export image filter is an image saver masquerading
More informationGesture-Based 3D Mesh Modeler
Gesture-Based 3D Mesh Modeler Roland Carlos 1, Clarence Dalan 1, Aaron Sanchez 1, Kevin Tolentino 1 and Florante R. Salvador 1, * 1De La Salle University, Manila *Corresponding Author: florante.salvador@dlsu.edu.ph
More informationClassifying Hand Shapes on a Multitouch Device
Classifying Hand Shapes on a Multitouch Device Daniel Gibson, Aaron Rosekind, Ashley Wellman Stanford University, Stanford, CA 94305 Email: {gibsnson, rosekind, wellman}@stanford.edu 1 Introduction As
More informationTowards the Consumerization of Smart Sensors
Towards the Consumerization of Smart Sensors Roberto De Nuccio Business Development Manager MEMS, Sensors and High-Performance Analog Division STMicroelectronics Micro-Electro-Mechanical Systems (MEMS)
More informationFundamentals of Stereo Vision Michael Bleyer LVA Stereo Vision
Fundamentals of Stereo Vision Michael Bleyer LVA Stereo Vision What Happened Last Time? Human 3D perception (3D cinema) Computational stereo Intuitive explanation of what is meant by disparity Stereo matching
More informationHandheld Augmented Reality. Reto Lindegger
Handheld Augmented Reality Reto Lindegger lreto@ethz.ch 1 AUGMENTED REALITY 2 A Definition Three important characteristics: Combines real and virtual environment Interactive in real-time Registered in
More informationResearch and Literature Review on Developing Motion Capture System for Analyzing Athletes Action
International Conference on Education Technology, Management and Humanities Science (ETMHS 2015) Research and Literature Review on Developing Motion Capture System for Analyzing Athletes Action HAN Fang
More informationios Accessibility Features
1. Introduction Apple, since the birth of ios in 2007, has quietly been adding more and more sophisticated accessibility features to its mobile operating system. All of the following features are built
More information[Panhalkar*, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY VIRTUAL KEYBOARD: AN INTELLIGENT INTERACTION SYSTEM FOR DESKTOP USING STANDARD CAMERA. Shifa Panhalkar *, Anjali Rathod*, Divya
More informationRobust Fingertip Tracking with Improved Kalman Filter
Robust Fingertip Tracking with Improved Kalman Filter Chunyang Wang and Bo Yuan Intelligent Computing Lab, Division of Informatics Graduate School at Shenzhen, Tsinghua University Shenzhen 518055, P.R.
More information3D Computer Vision 1
3D Computer Vision 1 Multiview Stereo Multiview Stereo Multiview Stereo https://www.youtube.com/watch?v=ugkb7itpnae Shape from silhouette Shape from silhouette Shape from silhouette Shape from silhouette
More informationA Two-stage Scheme for Dynamic Hand Gesture Recognition
A Two-stage Scheme for Dynamic Hand Gesture Recognition James P. Mammen, Subhasis Chaudhuri and Tushar Agrawal (james,sc,tush)@ee.iitb.ac.in Department of Electrical Engg. Indian Institute of Technology,
More informationThe Kinect Sensor. Luís Carriço FCUL 2014/15
Advanced Interaction Techniques The Kinect Sensor Luís Carriço FCUL 2014/15 Sources: MS Kinect for Xbox 360 John C. Tang. Using Kinect to explore NUI, Ms Research, From Stanford CS247 Shotton et al. Real-Time
More informationMy Google Glass Sees Your Password!
2014 My Smartwatch Sees Your Password! My Google Glass Sees Your Password! My iphone Sees Your Password! Qinggang Yue University of Massachusetts Lowell In Collaboration with Zhen Ling, Southeast University,
More informationGalileo Standard Series
Galileo Standard Series AV200 AV300 AV350 EZ200 EZ300 Galileo AV300 The Galileo AV300 combines high-resolution images with the latest software and a precision mechanical platform to deliver 12" x 6" x
More informationHuman Detection. A state-of-the-art survey. Mohammad Dorgham. University of Hamburg
Human Detection A state-of-the-art survey Mohammad Dorgham University of Hamburg Presentation outline Motivation Applications Overview of approaches (categorized) Approaches details References Motivation
More informationThree-Dimensional Hand Pointing Recognition using Two Cameras by Interpolation and Integration of Classification Scores
Three-Dimensional Hand Pointing Recognition using Two Cameras by Interpolation and Integration of Classification Scores Dai Fujita and Takashi Komuro Graduate School of Science and Engineering, Saitama
More informationStylus Enhancement to Enrich Interaction with Computers
Stylus Enhancement to Enrich Interaction with Computers Yu Suzuki, Kazuo Misue, and Jiro Tanaka Department of Computer Science, University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan {suzuki,misue,jiro}@iplab.cs.tsukuba.ac.jp
More informationUser Experience Design
User Experience Design Hira Javed Usability Specialist Canadian Broadcasting Corporation UX Instructor University of Waterloo Stratford User + Experience What does the word experience mean to you? UX is
More informationAuto-focusing Technique in a Projector-Camera System
2008 10th Intl. Conf. on Control, Automation, Robotics and Vision Hanoi, Vietnam, 17 20 December 2008 Auto-focusing Technique in a Projector-Camera System Lam Bui Quang, Daesik Kim and Sukhan Lee School
More informationEMBEDDED VISION AND 3D SENSORS: WHAT IT MEANS TO BE SMART
EMBEDDED VISION AND 3D SENSORS: WHAT IT MEANS TO BE SMART INTRODUCTION Adding embedded processing to simple sensors can make them smart but that is just the beginning of the story. Fixed Sensor Design
More informationSegmentation and Tracking of Partial Planar Templates
Segmentation and Tracking of Partial Planar Templates Abdelsalam Masoud William Hoff Colorado School of Mines Colorado School of Mines Golden, CO 800 Golden, CO 800 amasoud@mines.edu whoff@mines.edu Abstract
More information3D HAND LOCALIZATION BY LOW COST WEBCAMS
3D HAND LOCALIZATION BY LOW COST WEBCAMS Cheng-Yuan Ko, Chung-Te Li, Chen-Han Chung, and Liang-Gee Chen DSP/IC Design Lab, Graduated Institute of Electronics Engineering National Taiwan University, Taiwan,
More informationTap Input as an Embedded Interaction Method for Mobile Devices
Tap Input as an Embedded Interaction Method for Mobile Devices By Sami Ronkainen, Jonna Häkkilä, Saana Kaleva, Ashley Colley & Jukka Linjama (presentation) Nokia, Finland Presentation in TEI 07, Conference
More informationAccessibility on an ipad
on an ipad Settings app General (on left hand side) VoiceOver 1 Enables the user to have the ipad announce anything they are touching. Also changes the way the ipad operates with gestures. 2 Controls:
More informationContour LS-K Optical Surface Profiler
Contour LS-K Optical Surface Profiler LightSpeed Focus Variation Provides High-Speed Metrology without Compromise Innovation with Integrity Optical & Stylus Metrology Deeper Understanding More Quickly
More informationComputer Graphics. Bing-Yu Chen National Taiwan University The University of Tokyo
Computer Graphics Bing-Yu Chen National Taiwan University The University of Tokyo Introduction The Graphics Process Color Models Triangle Meshes The Rendering Pipeline 1 What is Computer Graphics? modeling
More informationActive Stereo Vision. COMP 4900D Winter 2012 Gerhard Roth
Active Stereo Vision COMP 4900D Winter 2012 Gerhard Roth Why active sensors? Project our own texture using light (usually laser) This simplifies correspondence problem (much easier) Pluses Can handle different
More informationPhone Tilt. Dynamic UI Adaptations for single-handed smartphone interaction. Fasil Negash Mtr No.:
1 Phone Tilt Dynamic UI Adaptations for single-handed smartphone interaction Fasil Negash Mtr No.: 2040556 fasil.negash@hs-augsburg.de WS 2018 / 2019 Hochschule Augsburg Interaction Engineering Prof. Dr.
More informationUser Experience Design
User + Experience User Experience Design Hira Javed Usability Specialist Canadian Broadcasting Corporation UX Instructor University of Waterloo Stratford What does the word experience mean to you? UX is
More informationANDROID BASED OBJECT RECOGNITION INTO VOICE INPUT TO AID VISUALLY IMPAIRED
ANDROID BASED OBJECT RECOGNITION INTO VOICE INPUT TO AID VISUALLY IMPAIRED 1 J.Prakash, 2 P.Harish, 3 Ms.K.Deepika 1,2,3 Department of Computer Science and Engineering,Agni College of Technology,Chennai(India)
More informationBridging the Paper and Electronic Worlds
Bridging the Paper and Electronic Worlds Johnson, Jellinek, Klotz, Card. Aaron Zinman MAS.961 What its about Paper exists Its useful and persistent Xerox is concerned with doc management Scanning is problematic
More informationVideo in the Interface
Video in the Interface Video: the BEST * modality As passive or active as needed Simple directional localization Line-of-sight supports see/be seen paradigm (within visible spectrum) Rich sensor * According
More informationCOMS W4735: Visual Interfaces To Computers. Final Project (Finger Mouse) Submitted by: Tarandeep Singh Uni: ts2379
COMS W4735: Visual Interfaces To Computers Final Project (Finger Mouse) Submitted by: Tarandeep Singh Uni: ts2379 FINGER MOUSE (Fingertip tracking to control mouse pointer) Abstract. This report discusses
More information