Improvements on a Novel Hybrid Tracking System

Slides:



Advertisements
Similar presentations
Lecture 20 Dimitar Stefanov. Microprocessor control of Powered Wheelchairs Flexible control; speed synchronization of both driving wheels, flexible control.
Advertisements

Copyright Xsens Technologies B.V. 2011; Company confidential Estimating foot parameters Jesper Lansink Rotgerink Supervisors: Dr. ir. Daniel Roetenberg.
VR graphics.ssu.ac. kr 1 Ultrasonic Trackers Definition: A non-contact position measurement device that uses an ultrasonic signal produced by a stationary.
Input devices and interaction Ruth Aylett. Contents n Tracking –What is available n Devices –Gloves, 6 DOF mouse, WiiMote.
Gait.
Optimization of Networked Smart Shoe for Gait Analysis using Heuristic Algorithms with Automated Thresholding Nantawat Pinkam, Advisor: Dr. Itthisek Nilkhamhang.
Tracking Systems Cesar Martinez Internetworked Virtual Reality COMP6461 September 2002 INPUT DEVICES.
M ICRO -E LECTRO M ECHANICAL S YSTEMS (MEMS). MEMS Micro Electrical Mechanical Systems Practice of making and combining miniaturized mechanical and electrical.
Pedestrian Localization for Indoor Environments OliverWoodman, Robert Harle Helen 2009/8/24.
The Voice Operated and Wirelessly Controlled Elevator Jeremy Hester Advisor: Mohammad Saadeh Class: ET 493 – 01 Instructor: Dr. Cris Koutsougeras South.
Tracking a moving object with real-time obstacle avoidance Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan and Mongi Abidi Imaging, Robotics and.
Decoding Human Movement Using Wireless Sensors Michael Baswell CS525 Semester Project, Spring 2006.
Tracking Gökhan Tekkaya Gürkan Vural Can Eroğul. Outline Tracking –Overview –Head Tracking –Eye Tracking –Finger/Hand Tracking Demos.
Shanshan Chen, Christopher L. Cunningham, John Lach UVA Center for Wireless Health University of Virginia BSN, 2011 Extracting Spatio-Temporal Information.
Inertial Navigation AST 241.
2.03B Common Types and Interface Devices and Systems of Virtual Reality 2.03 Explore virtual reality.
Presented by: Z.G. Huang May 04, 2011 Did You See Bob? Human Localization using Mobile Phones Romit Roy Choudhury Duke University Durham, NC, USA Ionut.
 Before a BCI can be used for control purposes, several training sessions are necessary ◦ Operant conditioning  Feed back, real-time changes to the.
Introduction Designing controllers for walking robots presents many challenges. In order for walking robotics to reach this stage, perhaps a new approach.
The Perception of Walking Speed in a Virtual Environment By T. Banton, J. Stefanucci, F. Durgin, A. Fass, and D. Proffitt Presentation by Ben Cummings.
HUMANWARE - New Related Work - Activity and Location Recognition Using Wearable Sensors - Memories for Life - SharMe – Nokia Research Center La The Vinh.
IEC TC 100 Oct Wireless Power Transfer – multiple sources control management H. Sakakihara 100/AGS501.
The Voice Operated and Wirelessly Controlled Elevator Jeremy Hester Advisor: Mohammad Saadeh Class: ET 493 – 01 Class Professor: Dr. Cris Koutsougeras.
VIRTUAL REALITY (VR) INTRODUCTION AND BASIC APPLICATIONS الواقع الافتراضي : مقدمة وتطبيقات Dr. Naji Shukri Alzaza Assist. Prof. of Mobile technology Dean.
Virtual Reality Lecture2. Some VR Systems & Applications 고려대학교 그래픽스 연구실.
GENESIS OF VIRTUAL REALITY  The term ‘Virtual reality’ (VR) was initially coined by Jaron Lanier, founder of VPL Research (1989)..
Printer Velocity Team 6 Mitchell Fiegel Tom Graf Jaclyn Fissinger Matt Leu Alejandro Buxo Sumit Zaver.
Augmented reality Prepared by: Khyati Kataria 08DCE001
National institute of science & technology BLINK DETECTION AND TRACKING OF EYES FOR EYE LOCALIZATION LOPAMUDRA CS BLINK DETECTION AND TRACKING.
STEPPER MOTORS Name: Mr.R.Anandaraj Designation: Associate. Professor Department: Electrical and Electronics Engineering Subject code :EC 6252 Year: II.
2.03 Explore virtual reality design and use.
1 Perception and VR MONT 104S, Fall 2008 Lecture 14 Introduction to Virtual Reality.
Salim Modi, David Nguyen, Mitul Patel Virtual Environments Tracking Systems.
The Perception of Visual Walking Speed While Moving Frank Durgin, Krista Gigone, Rebecca Scott Swarthmore College In Press: Journal of Experimental Psychology:
Augmented Reality Authorized By: Miss.Trupti Pardeshi. NDMVP, Comp Dept. Augmented Reality 1/ 23.
Direct Blind Walking in a Different Virtual World INTRODUCTION AND BACKGROUND Betty J. Mohler †, Heinrich H. Bülthoff †, William B. Thompson* & Sarah H.
AUTOMATIC RAILWAY GATE CONTROLLING AND TRACK SWITCHING
Jin Yan Embedded and Pervasive Computing Center
Dead Reckoning with Smart Phone Sensors for Emergency Rooms Ravi Pitapurapu, Ajay Gupta, Kurt Maly, Tameer Nadeem, Ramesh Govindarajulu, Sandip Godambe,
Current Works Corrected unit conversions in code Found an error in calculating offset (to zero sensors) – Fixed error, but still not accurately integrating.
Using IR For Maze Navigation Kyle W. Lawton and Liz Shrecengost.
Tracking Systems in VR.
The Voice Operated and Wirelessly Controlled Elevator Jeremy Hester Advisor: Mohammad Saadeh Class: ET 493 – 01 Class Professor: Dr. Cris Koutsougeras.
The GETA Sandals: A Footprint Location Tracking System Kenji Okuda, Shun-yuan Yeh, Chon-in Wu, Keng-hao Chang, and Hao-hua Chu National Taiwan University.
Copyright 2011 controltrix corpwww. controltrix.com Global Positioning System ++ Improved GPS using sensor data fusion
Date of download: 7/8/2016 Copyright © ASME. All rights reserved. From: A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes J. Dyn.
Fan Assembly Driven by Magnetic Fields
Autonomous Navigation of a
Multimedia Application
Google Cardboard.
Augmented Reality And Virtual Reality.
VR - SERIOUS OR JUST FASHION? ITU-R Working PARTY 6C 18 October 2016
Basic Coordinate Systems & VR
Virtual Reality By: brady adger.
Development and design of a wall climbing robot
Real-time Wall Outline Extraction for Redirected Walking
Xbox Kinect (Microsoft)
Project: Integrating Indoor Localization to Gaming
Markus Zank, Colin Yao, Andreas Kunz ETH Zurich
Dead Reckoning, a location tracking app for Android™ smartphones Nisarg Patel Mentored by Adam Schofield and Michael Caporellie Introduction Results (cont.)
3.03 Explore virtual reality design and use.
Long-range capacitive sensors for indoor person location
The Loco-motion Watch Out for Bears Sofia Wyetzner and Geoff Ramseyer
Supervisors: Tanja Mitrovic and Moffat Mathews Anthony Bracegirdle
Team We Ate 9 FMECA Worksheet.
VR setup, task design, and training schedule.
-Koichi Nishiwaki, Joel Chestnutt and Satoshi Kagami
Klaas Werkman Arjen Vellinga
Human Gait Analysis using IMU Sensors
Presentation transcript:

Improvements on a Novel Hybrid Tracking System Markus Zank; Leyla Kern; Andreas Kunz ETH Zurich 29.11.2018

Content Background and application field Classification of tracking systems Basic operation principle Building and testing the system Conclusions and outlook 11/29/2018

Background and application field VR environments gain immersion by the sensation of real walking on ground (without treadmills) Sizes and distances can be perceived more naturally than with a “flythrough” (using a joystick, etc.) Requires continuous accurate tracking even under adverse conditions Hybrid systems (optical and inertia-based) often not sufficient due to drift 11/29/2018

Classification of tracking systems 11/29/2018

Classification of tracking systems Inertia-based systems drift quadratically with time: Errors occur even if the user does not walk Frequent recalibration necessary Electromagnetic tracking systems directly measure distances Need fixed reference point Not suitable for exploring large virtual environments Do not drift with time Error increases with large tracking distance 11/29/2018

Basic operation principle Idea of a “quasistatic” reference on the stationary foot Base station is attached to HMD, measures distance to stationary and moving foot Distance from one foot to the other can be calculated Error linearly accumulates with the number of steps, but not with distance or time IMU is used for step detection only 11/29/2018

Basic operation principle Old switching mode changed reference one a foot entered the swing mode Large position error since reference is switched during swing phase New switching method changes reference once a foot enters stance phase Small error since reference is switched while both feet are in stance phase 11/29/2018

Building and testing the system Razer Hydra electromagnetic tracking system: Two sensors, one base station (cable-bound) Two ReSense accelerometers (Blue tooth connectivity) Razer sensors are attached to shoes’ heels Accelerometers are attached to shoes heels Razer base station is attached to head-mounted display 11/29/2018

Building and testing the system Old and new system setup is compared In both cases: Oscillations stem from walking Reference is taken with an absolute optical tracking system Intersense IS-1200 Old setup immediately shows measurement error New setup follows ideal path for about 14 s (slow walking) 11/29/2018

Conclusions and outlook Proposed system is able to bridge situations with invisible markers Recalibration is less frequently required than for inertia systems  larger distance of markers possible Electromagnetic system still cable-bound, wireless preferred  STEM Sensor signals will also be used to control limbs’ movements of an avatar Foot’s roll motion is still a source of error  will be eliminated in future work. 11/29/2018

Thank you for your attention. {zank, kunz}@iwf.mavt.ethz.ch Thank you for your attention.