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Combining Sight and touch

Combining Sight and touch. Thursday, May 6, 2010. Real-time robust body part tracking for augmented reality interface. Hyun S. Yang. KAIST - interaction lab in korea. Goal: to model the 3D body from the 2D detected body parts. a step towards more intuitive interaction in AR environment. (project NATAL). System deletes the background to get one single body blob. Uses skin texture to detect face and 2 hands. Uses lower body contour to detect leg and feet. Pointing to establish device identity. The user stu...

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Combining Sight and touch | manojcst.blogspot.com Reviews

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Combining Sight and touch. Thursday, May 6, 2010. Real-time robust body part tracking for augmented reality interface. Hyun S. Yang. KAIST - interaction lab in korea. Goal: to model the 3D body from the 2D detected body parts. a step towards more intuitive interaction in AR environment. (project NATAL). System deletes the background to get one single body blob. Uses skin texture to detect face and 2 hands. Uses lower body contour to detect leg and feet. Pointing to establish device identity. The user stu...

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3 kyusung cho

4 link to paper

5 summary

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7 comments franck

8 murat

9 posted by

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Combining Sight and touch | manojcst.blogspot.com Reviews

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Combining Sight and touch. Thursday, May 6, 2010. Real-time robust body part tracking for augmented reality interface. Hyun S. Yang. KAIST - interaction lab in korea. Goal: to model the 3D body from the 2D detected body parts. a step towards more intuitive interaction in AR environment. (project NATAL). System deletes the background to get one single body blob. Uses skin texture to detect face and 2 hands. Uses lower body contour to detect leg and feet. Pointing to establish device identity. The user stu...

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manojcst.blogspot.com

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Combining Sight and touch: Webcam Mouse Using Face and Eye Tracking in Various Illumination Environments

http://manojcst.blogspot.com/2010/05/webcam-mouse-using-face-and-eye.html

Combining Sight and touch. Thursday, May 6, 2010. Webcam Mouse Using Face and Eye Tracking in Various Illumination Environments. Goal: environment lighting independent face detection from the webcam video stream. Iris gives out luminance and its detected using the sharp change in the Y component. I do not think the recognition algorithm would scale to settings that has no examples. May 10, 2010 at 3:20 PM. May 11, 2010 at 8:15 PM. May 15, 2010 at 2:22 AM. I think I ran into what you mentioned about not h...

2

Combining Sight and touch: XWand: UI for intelligent spaces

http://manojcst.blogspot.com/2010/05/xwand-ui-for-intelligent-spaces.html

Combining Sight and touch. Wednesday, May 5, 2010. XWand: UI for intelligent spaces. Goal: to build an interaction device which can be used to point and interact with multiple devices around the user. (including voice medium). Orientation - combination of magnetometer and accelerometer. Can be affected by the metal in the environment. Position - uses vision techniques to find the 3D position from 2 - 2D position. Tracks 2 IR LEDs. The wand is familiar to the wand simulated with Wii for Wiizards games and...

3

Combining Sight and touch: Online, Interactive Learning of Gestures for Human/Robot Interfaces

http://manojcst.blogspot.com/2010/04/online-interactive-learning-of-gestures.html

Combining Sight and touch. Wednesday, April 28, 2010. Online, Interactive Learning of Gestures for Human/Robot Interfaces. Goal: Provde better interactivity and control over robots (effectiveness of tele-operation). Cyberglove is used record hand gesture input from the users. Hidden Markov model is used to recognize the gestures. Users perform a series of gesture. HMM train on the gesture if they classify them into one of the existing gestures and perform the related action. New gesture added by the user.

4

Combining Sight and touch: That one there! Pointing to establish device identity

http://manojcst.blogspot.com/2010/05/that-one-there-pointing-to-establish.html

Combining Sight and touch. Thursday, May 6, 2010. Pointing to establish device identity. Kori M. Inkpen. John C. Dill. Goal: Facilitate Human - Computer Identification with a pointing device. The user study and the data analysis were pretty thorough. There does not seem to much preference for the device over the graphical list (UI). May 11, 2010 at 6:56 PM. The user studies were good. I was impressed by their approach of combining two different technologies to create something better. Ethnography* I thin...

5

Combining Sight and touch: Liquids, smoke, and soap bubbles: reflections on materials for ephemeral user interfaces

http://manojcst.blogspot.com/2010/04/liquids-smoke-and-soap-bubbles.html

Combining Sight and touch. Wednesday, April 21, 2010. Liquids, smoke, and soap bubbles: reflections on materials for ephemeral user interfaces. Goal: Tangible ephemeral interface design with soap, bubble and smoke. Surrounding room light. The room illumination gets brighter the bigger a recognized bubble is. Hue is set according to the position of a recognized bubble using the x and y axis to. Bring up blue and red tones. Subscribe to: Post Comments (Atom). Paul Taele's Research Blog. Ethnography* I thin...

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mr689.blogspot.com

Sight & Touch

http://mr689.blogspot.com/2010/05/eyedraw-enabling-children-with-severe.html

Monday, April 19, 2010. EyeDraw: Enabling Children with Severe Motor Imparements to Draw with Their Eyes. Anthony J. Hornof. Computer and Information Science,. University of Oregan,. Eugene, OR 97403 USA. Computer Science and engineering,. University of Washington,. Seattle, WA 98195 USA. This is an application that enable children with severe motor disabilities to draw pictures with their eyes. The application runs on a computer equipped with an eye tracking device. Save and open drawings. The easiest f...

mr689.blogspot.com

Sight & Touch

http://mr689.blogspot.com/2010/05/webcam-mouse-using-face-and-eye.html

Monday, May 3, 2010. Webcam Mouse Using Face and Eye Tracking in Various Illumination Environemts. Yuan-Pin Lin, Chung-Chih Lin, Jyh-Horng Chen. Institue of Electrical Engineering,. Department of Computer Science and Information Engineering,. Face tracking is performed using a non linear skin color transform to overcome variations in lighting. Iris tracking is used to identify the eyes and their position. The cursor is then calculated as a product of the eye position relative to the head position...After...

mr689.blogspot.com

Sight & Touch: March 2010

http://mr689.blogspot.com/2010_03_01_archive.html

Monday, March 29, 2010. Whack Gestures: Inexact and Inatentive Interaction with Mobile Devices. Scott E. Hudson. Beverly L. Harrison. Human-Computer Interaction Institute Carnegie Mellon University, Pittsburgh, PA 15213. Intel Labs Seattle, WA 98105. Whacks by themselves are hard to distinguish from bumps, so to minimize false positives a pair of whacks was used to frame a gesture as follows. The three gestures used for evaluation:. Whack as a signal gesture. Shaking as a signal gesture. The need for ges...

mr689.blogspot.com

Sight & Touch: January 2010

http://mr689.blogspot.com/2010_01_01_archive.html

Thursday, January 28, 2010. 3DM: A Three Dimensional Modeler Using a Head-Mounted Display. Jeff Butterworth, Andrew Davidson, Stephen Hench and T. Marc Olano. The notion to develop an easily accessible 3D modeler using VR in the early 90’s was very forward thinking. In many regards this same goal in a simplified non VR version was taken up by sketchup as it appeared in its original form in 2000. Although the resulting images look a little primitive from today’s perspective, for the time it is very ...

mr689.blogspot.com

Sight & Touch: April 2010

http://mr689.blogspot.com/2010_04_01_archive.html

Wednesday, April 28, 2010. Real-Time Hand-Tracking as a User Input Device. Robert Y. Wang. Computer Science and Artificial Intelligence Laboratory,. Massachusetts Institute of Technology. Cambridge, MA USA. Low dispersion sampling of hand poses is used to provide a maximum bound on the estimation error that the algorithm can make. The result is to have a database where the distance from the KNN to the query image is minimized. Fast Nearest Neighbor Search:. This application was intended for 3D direct man...

mr689.blogspot.com

Sight & Touch: February 2010

http://mr689.blogspot.com/2010_02_01_archive.html

Wednesday, February 24, 2010. American Sign Language Recognition in Game Development for Deaf Children. Georgia Institute of Technology GVU Center College of Computing Atlanta, Georgia, USA. Brashear, sylee, vlh, thad)@cc.gatech.edu. Korea Advanced Institute of Science and Technology Daejeon, Republic of Korea. Center for Accessible Technology in Sign Atlanta Area School for the Deaf Clarkston, Georgia, USA. Hhamilto@doe.k12.ga.us. Five children were used in the study, all of them played all three levels...

mr689.blogspot.com

Sight & Touch

http://mr689.blogspot.com/2010/04/coming-to-grips-with-objects-we-grasp.html

Wednesday, April 7, 2010. Coming to Grips with the Objects We Grasp:. Detecting Interactions with Efficient Wrist-Worn Sensors. Eugen Berlin, Jun Liu, Kristof van Laerhoven, Brent Schiele. Department of Computer Science,. Techniche Universität Darmstadt,. M1-mini SkyeTek reader interface circuitry. Two ambient light sensors. Extending the range of the RFID from the wrist to the hand. Choice of antenna to best perform. Classification of 3D accelerometer data. Used in optimizing the antenna. How the essenc...

mr689.blogspot.com

Sight & Touch

http://mr689.blogspot.com/2010/05/peppermill-human-powered-user-interface.html

Monday, April 5, 2010. The Peppermill: A Human-Powered User Interface Device. The circuit diagram is presented showing the relatively simple implementation. Standard components are used with a motor and reduction gear assembly providing the source of power. An artificial scenario video browsing application was developed. Users could choose channels, and adjust volume. The rate of rotation determined the speed of selection of items on the screen. Posted by M Russell. Subscribe to: Post Comments (Atom).

mr689.blogspot.com

Sight & Touch: May 2010

http://mr689.blogspot.com/2010_05_01_archive.html

Monday, May 3, 2010. Webcam Mouse Using Face and Eye Tracking in Various Illumination Environemts. Yuan-Pin Lin, Chung-Chih Lin, Jyh-Horng Chen. Institue of Electrical Engineering,. Department of Computer Science and Information Engineering,. Face tracking is performed using a non linear skin color transform to overcome variations in lighting. Iris tracking is used to identify the eyes and their position. The cursor is then calculated as a product of the eye position relative to the head position...After...

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Combining Sight and touch

Combining Sight and touch. Thursday, May 6, 2010. Real-time robust body part tracking for augmented reality interface. Hyun S. Yang. KAIST - interaction lab in korea. Goal: to model the 3D body from the 2D detected body parts. a step towards more intuitive interaction in AR environment. (project NATAL). System deletes the background to get one single body blob. Uses skin texture to detect face and 2 hands. Uses lower body contour to detect leg and feet. Pointing to establish device identity. The user stu...

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Wednesday, December 22, 2010. H No 1-7-838/1, Shanthi Nagar-10, Subedhari,. Hanamkonda, Warangal, 506001, A.P, India. Mobile: 91 94400 14144. To develop a significant concept in the field of Avionics and Astronomy. Persevering under graduation (completed II year) in B.S. Avionics at SNIST Vaughn Collage of Aeronautics and Technology, Hyderabad. GPA of 3.03 out of 4. GPA of 3.3 out of 4. EXTRA CURRICULAR ACTIVITIES and AWARDS:. Player of runners up team, for Ko Ko game, Warangal Public School 2000. Design...

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