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Haptics Spring 08

Sunday, May 4, 2008. Invariant features for 3-D gesture recognition. Invariant features for 3-D gesture recognition. Campbell et al test a variety of features for gesture recognition. They combine various Cartesian and polar coordinates, as well as velocities, speed, and curvature, and use these features as input to HMMs. They find that radial speeds perform the best. I was hoping for some novel features, but instead ended up with the usual speed, curvature, and position. Interacting with human physiology.

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Haptics Spring 08 | pchaptics.blogspot.com Reviews
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Sunday, May 4, 2008. Invariant features for 3-D gesture recognition. Invariant features for 3-D gesture recognition. Campbell et al test a variety of features for gesture recognition. They combine various Cartesian and polar coordinates, as well as velocities, speed, and curvature, and use these features as input to HMMs. They find that radial speeds perform the best. I was hoping for some novel features, but instead ended up with the usual speed, curvature, and position. Interacting with human physiology.
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Haptics Spring 08 | pchaptics.blogspot.com Reviews

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Sunday, May 4, 2008. Invariant features for 3-D gesture recognition. Invariant features for 3-D gesture recognition. Campbell et al test a variety of features for gesture recognition. They combine various Cartesian and polar coordinates, as well as velocities, speed, and curvature, and use these features as input to HMMs. They find that radial speeds perform the best. I was hoping for some novel features, but instead ended up with the usual speed, curvature, and position. Interacting with human physiology.

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1

Haptics Spring 08: A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models

http://pchaptics.blogspot.com/2008/05/sensor-fusion-approach-for-recognizing.html

Sunday, May 4, 2008. A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models. A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models. Not much to say. Pressure seems like a very useful piece of information for determining contact between the hand and objects. Subscribe to: Post Comments (Atom). Invariant features for 3-D gesture recognition. Interacting with human physiology. Taiwan sign language (TSL) recogn...

2

Haptics Spring 08: Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker

http://pchaptics.blogspot.com/2008/05/hand-gesture-modelling-and-recognition.html

Sunday, May 4, 2008. Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker. Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker. The change in eigen-templates used to find the hand seemingly just finds corners. Aren't there easier methods to find corners? Subscribe to: Post Comments (Atom). Invariant features for 3-D gesture recognition. Interacting with human physiology. A sensor f...

3

Haptics Spring 08: TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning

http://pchaptics.blogspot.com/2008/05/tikl-development-of-wearable.html

Sunday, May 4, 2008. TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning. TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning. Not much gesture recognition going on. The tracking could be adapted to an instance based classification system. Its use as a learning tool is interesting, and would be cool to try. Subscribe to: Post Comments (Atom). Invariant features for 3-D gesture recognition. Interacting with human physiology.

4

Haptics Spring 08: Wiizards: 3D gesture recognition for game play input

http://pchaptics.blogspot.com/2008/05/wiizards-3d-gesture-recognition-for.html

Sunday, May 4, 2008. Wiizards: 3D gesture recognition for game play input. Wiizards: 3D gesture recognition for game play input. Kratz et al use HMMs to classify accelerometer data from Wiimotes to create a game. Their system achieves high accuracy rates when tested on data generated by the same users who produced the training data, but only about 50% accuracy on other users. HMMs Wii = gesture recognition. Kratz, L., Smith, M., and Lee, F. J. 2007. Wiizards: 3D gesture. 07 ACM, New York, NY, 209-212.

5

Haptics Spring 08: May 2008

http://pchaptics.blogspot.com/2008_05_01_archive.html

Sunday, May 4, 2008. Invariant features for 3-D gesture recognition. Invariant features for 3-D gesture recognition. Campbell et al test a variety of features for gesture recognition. They combine various Cartesian and polar coordinates, as well as velocities, speed, and curvature, and use these features as input to HMMs. They find that radial speeds perform the best. I was hoping for some novel features, but instead ended up with the usual speed, curvature, and position. Interacting with human physiology.

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jbjohns - Haptics and Sketch Recognition: April 2008

http://jbjohns.blogspot.com/2008_04_01_archive.html

Jbjohns - Haptics and Sketch Recognition. Clogging the Tubes, one Blog entry at a time. Now covers two courses/fields/disciplines, so it's more of a gesture recognition catch-22. Wednesday, April 23, 2008. Eisenstein - discourse topic and gestural form. Jacob Eisenstein, Regina Barzilay, and Randall Davis. "Discourse Topic and Gestural Form." AAAI 2008. It's true that about 10% of word occurrences (about 80% of the vocabulary, with numbers off the top of my head from memory) for large corpora are topic s...

krd-haptics.blogspot.com krd-haptics.blogspot.com

On hand tracking & gesture recognition: March 2008

http://krd-haptics.blogspot.com/2008_03_01_archive.html

On hand tracking and gesture recognition. Wednesday, March 19, 2008. TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning (Lieberman and Breazeal). I also think it would be very interesting to see, as they ask when discussing future work, whether human attention can take in information from more joints of the body all at once and react effectively to it. Wiizards: 3D Gesture Recognition for Game Play Input (Kratz, Smith and Lee). Subscribe to: Posts (Atom).

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On hand tracking & gesture recognition: February 2008

http://krd-haptics.blogspot.com/2008_02_01_archive.html

On hand tracking and gesture recognition. Friday, February 29, 2008. Temporal Classification: Extending the Classification Paradigm to Multivariate Time Series (Kadous). Summary (ONLY intro and 6.3.2 - Auslan):. Powerglove low accuracy, HMM best. Flock good accuracy, adaboost best, maybe HMM not so good because of too many more channels of data. Rules formed for classification. Wednesday, February 27, 2008. Monday, February 25, 2008. Georgia Tech Gesture Toolkit: Supporting Experiments in Gesture Recogni...

krd-haptics.blogspot.com krd-haptics.blogspot.com

On hand tracking & gesture recognition: Wiizards: 3D Gesture Recognition for Game Play Input (Kratz, Smith & Lee)

http://krd-haptics.blogspot.com/2008/03/wiizards-3d-gesture-recognition-for.html

On hand tracking and gesture recognition. Wednesday, March 19, 2008. Wiizards: 3D Gesture Recognition for Game Play Input (Kratz, Smith and Lee). Yeah, I would think a simple feature-based classifier could give good results, especially since all of the gestures are really 2-D gestures. I bet using a simple Rubine classifier would work just fine with their gesture set. March 24, 2008 at 12:58 PM. March 29, 2008 at 4:37 PM. March 30, 2008 at 8:02 PM. Subscribe to: Post Comments (Atom).

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On hand tracking & gesture recognition: Computer Vision-based Gesture Recognition for an Augmented Reality Interface (Storring, Moeslund, Liu, Granum)

http://krd-haptics.blogspot.com/2008/02/computer-vision-based-gesture.html

On hand tracking and gesture recognition. Monday, February 25, 2008. Computer Vision-based Gesture Recognition for an Augmented Reality Interface (Storring, Moeslund, Liu, Granum). Also, how did they find the thumb movement to be the most natural choice for a click gesture? Was that their design choice, or did they decide on it from user feedback? In his PhD thesis. That's the only thing I liked about this paper. May 10, 2008 at 12:01 PM. Subscribe to: Post Comments (Atom). View my complete profile.

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jbjohns - Haptics and Sketch Recognition: December 2007

http://jbjohns.blogspot.com/2007_12_01_archive.html

Jbjohns - Haptics and Sketch Recognition. Clogging the Tubes, one Blog entry at a time. Now covers two courses/fields/disciplines, so it's more of a gesture recognition catch-22. Friday, December 14, 2007. Posted by - D. Links to this post. Thursday, December 13, 2007. Alvarado and Lazzareschi - Properties of Diagrams. Alvarado, Christine, and Michael Lazzareschi. "Properties of Real-World Digital Logic Diagrams." PLT 2007. Posted by - D. Links to this post. Wais, Wolin, and Alvarado perform a Wizard of ...

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jbjohns - Haptics and Sketch Recognition: May 2008

http://jbjohns.blogspot.com/2008_05_01_archive.html

Jbjohns - Haptics and Sketch Recognition. Clogging the Tubes, one Blog entry at a time. Now covers two courses/fields/disciplines, so it's more of a gesture recognition catch-22. Saturday, May 10, 2008. Eisenstein - Device independence and extensibility. This seems crazy complicated for /very/ little accuracy. Using neural networks to classify the static ASL letters (all but Z and J), they only get 67 % accuracy. Other approaches are able to get close to 95-99% for the same data. I guess thin...Wiimote&#...

jbjohns.blogspot.com jbjohns.blogspot.com

jbjohns - Haptics and Sketch Recognition: February 2008

http://jbjohns.blogspot.com/2008_02_01_archive.html

Jbjohns - Haptics and Sketch Recognition. Clogging the Tubes, one Blog entry at a time. Now covers two courses/fields/disciplines, so it's more of a gesture recognition catch-22. Wednesday, February 27, 2008. Sagawa - Recognizing Sequence Japanese Sign Lang. Words. Determination of which hands are used (both vs. one hand, right vs. left hand) is done by comparing the hand velocities of the two hands, both on "which max is greater" (Eq 3) and "avg squared difference in velocity? Using their stuff, they se...

jbjohns.blogspot.com jbjohns.blogspot.com

jbjohns - Haptics and Sketch Recognition: February 2009

http://jbjohns.blogspot.com/2009_02_01_archive.html

Jbjohns - Haptics and Sketch Recognition. Clogging the Tubes, one Blog entry at a time. Now covers two courses/fields/disciplines, so it's more of a gesture recognition catch-22. Thursday, February 19, 2009. Interactive Sketching for the Early Stages of User Interface Design, James Landay. Author = "James Landay and Brad Myers",. Title = "Interactive sketching for the early stages of user interface design",. Booktitle = proc # chi,. Year = "1995",. Isbn = "0-201-84705-1",. Pages = "43- 50",. Allows for d...

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Haptics Spring 08

Sunday, May 4, 2008. Invariant features for 3-D gesture recognition. Invariant features for 3-D gesture recognition. Campbell et al test a variety of features for gesture recognition. They combine various Cartesian and polar coordinates, as well as velocities, speed, and curvature, and use these features as input to HMMs. They find that radial speeds perform the best. I was hoping for some novel features, but instead ended up with the usual speed, curvature, and position. Interacting with human physiology.

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